Hi, I’m MD. Reazul Islam
PhD Student, University at Albany Academician IoT, AI & ML Researcher Web & App Developer.

Playlist

IoT and ML-Embedded sitting posture monitoring system.

Objective : Developed a visual system for a smart chair to detect and monitor sitting posture through mobile applications can have several potential benefits. It could promote better posture habits, provide feedback for ergonomic improvements, and potentially help prevent discomfort or injuries associated with poor sitting positions.

Here’s an overview of the steps involved:

1. Define requirements: Determine the specific features and functionalities you want to incorporate into your smart chair. Consider posture monitoring, real-time feedback, alert generation, and mobile integration for notifications.

2. Hardware selection: Choose the necessary hardware components for your smart chair, including sensors for posture detection (e.g., pressure sensors, accelerometers), a microcontroller or single-board computer (e.g., Arduino, Raspberry Pi), connectivity modules (e.g., Wi-Fi, Bluetooth), and a power source.

3. Sensor integration: Install the posture detection sensors within the chair, ensuring optimal placement to capture accurate posture data. Connect the sensors to the microcontroller or single-board computer for data acquisition.

4. Data acquisition and processing: Develop software to read data from the posture sensors connected to the microcontroller. Process the sensor data to analyze sitting posture using machine learning algorithms or rule-based approaches.

5. Real-time feedback: Implement a mechanism to provide real-time feedback to the user about their sitting posture. This can involve visual indicators, sounds, or vibrations integrated into the chair. Use the analyzed data to determine correct and incorrect postures.

6. Connectivity: Enable the smart chair to connect to a network or a mobile device. Implement connectivity modules such as Wi-Fi or Bluetooth to establish communication between the chair and the mobile device.

7. Mobile app development: Create a mobile application that can receive posture data from the chair and send alerts to the user’s mobile device. The app should display real-time posture information, generate alerts for poor posture, and provide recommendations for posture correction.

8. Alert generation: Determine the conditions for generating alerts based on poor posture detection. For example, if the user maintains an incorrect posture for a specified duration, trigger an alert to their mobile device, reminding them to change their position.

9. Data storage and analysis: Set up a database or cloud storage to store the collected posture data. Perform further analysis on the data to identify long-term trends, generate insights, and potentially provide personalized recommendations for improving posture.

10. Testing and refinement: Thoroughly test the smart chair’s functionality, accuracy of posture detection, alert generation, and mobile integration. Collect user feedback to identify areas for improvement and refine the system accordingly.

Ensure user privacy and data security throughout the development process, including encryption and secure communication between the chair, microcontroller, and mobile device.

Note: Developing an IoT and ML-based smart chair requires expertise in hardware integration, software development, and machine learning. Consider collaborating with experts or seeking guidance from communities specializing in IoT, ML, or hardware projects if needed.

Playlist

IoT and ML embedded automatic vehicles indicator and smart lock

Objective:  Bike safety is a crucial aspect of cycling. Cyclists often face challenges while navigating through traffic and other hazardous road conditions. To improve the safety of cyclists, an IoT and ML based bike safety indicator project was developed. The Project aimed to provide cyclists with a safer and more comfortable cycling experience by indicating the surrounding traffic conditions. This project is an innovative and comprehensive solution that provides cyclists with a safer and more comfortable cycling experience. 

Overview: 

Cycling has become a popular mode of transportation, especially in urban areas. However, cycling on busy roads can be dangerous, and cyclists need to take necessary precautions to ensure their safety. To address this issue, an IoT-based bike safety indicator project was developed. The project aimed to provide cyclists with real-time information about their surroundings by indicating the direction in which they intend to turn. The bike safety indicator project uses two indicators mounted on the bicycle, which automatically blink when the cyclist turns the handlebar to the left or right. This project is designed to improve bike safety and provide cyclists with a safer and more comfortable cycling experience.

To improve bike safety, we propose the use of bike safety indicators that incorporate advanced technologies, such as two NodeMCU, one gyroscope sensor, two relay, two red LED connection, and breadboard. The Gyroscope sensor help to detect the bike’s angle, while the relay and Wire connections provide visual alerts to the rider.

The objective of this presentation is to explain the working principle of the bike safety indicator using a gyroscope sensor and NodeMCU. It will cover the components used in the system, the connection and setup process, and how the system works to provide warning signals to the ride.

Improved bike safety:
The project aims to improve bike safety by providing real-time information to the cyclist about their surroundings, indicating the direction in which they intend to turn. This will help in reducing accidents and making cycling a safer mode of transportation.

Convenience: The project offers a convenient solution for cyclists, as the indicators automatically blink when the cyclist turns the handlebar to the left or right, eliminating the need for manual operation.Cost-effectiveness: The project is developed using open-source hardware and software, making it cost-effective and accessible for a larger community of cyclists.

Potential for scalability: 
The bike safety indicator IoT project can be implemented on a larger scale to improve bike safety across cities and countries.

Playlist

Design and Implementation of Cost Effective Automatic Water Pump Controlling System for Domestic Application using IoT

Real life implementation

Objective: Water scarcity is indeed a significant problem faced by cities in Bangladesh, which is compounded by both natural scarcity and mismanagement of water resources. Various forms of pollution contribute to the wastage of water in different ways. Additionally, the lack of proper control mechanisms for water pumping exacerbates the issue, leading to overflow and unnecessary wastage. Extensive research has been conducted to address these challenges and propose and implement a potential solutions.

This research project aims to present a cost-effective solution to the problem of water pump control for domestic applications, utilizing the Internet of Things (IoT) technology and a mobile application. The proposed system includes a reserve tank that serves the purpose of protecting the motor from the impact of air hitting it. By implementing this system, the cost of water pump control can be reduced compared to existing systems.

The integration of IoT and a mobile application allows for remote monitoring and control of the water pump, enhancing efficiency and reducing wastage. Users can conveniently operate the pump and monitor its functioning through the mobile application, providing greater control over water usage. Moreover, the reserve tank acts as a buffer, minimizing the risk of damage to the motor and improving its longevity.

By implementing this proposed solution, it is expected that the issues related to water scarcity, wastage, and motor control can be effectively addressed in a cost-effective manner. The utilization of IoT and mobile technology offers a promising approach to optimize water management and ensure efficient utilization of this precious resource.

Here are the features of the device:

1. Water and electricity wastage minimization: The device is designed to minimize the wastage of water and electricity, likely through efficient motor control and monitoring.

2. Automatic motor control: The motor of the device will automatically turn on when the water tank is empty, ensuring a continuous water supply. Conversely, it will automatically shut off when the water tank is full to prevent overflow and water wastage.

3. Digital display for water level: The device includes a digital display that shows the water level in the tank. This feature allows users to easily monitor the water level without the need for manual inspection.

4. Overheating protection: The motor of the device is designed to be completely safe from overheating. This ensures the longevity and reliability of the motor, preventing any potential damage or hazards.

5. Voltage passing rate display: The device includes a digital display that shows the voltage passing rate. This feature enables users to easily monitor the voltage supply and ensure the proper functioning of the system.

6. Easy installation: The device is designed for easy installation. This means that users can set up the system without significant technical expertise or complicated procedures.

7. Float switch control: The device includes a float switch that controls the operation of the pump based on the water level in the tank. When the water reaches a certain level, the float switch will turn the pump off, preventing overflow and ensuring efficient water management.

Overall, this device provides a convenient and efficient solution for managing water supply, preventing wastage, and ensuring user safety.

Playlist

ICPC Asia Dhaka Regional Contest Schedule App

App Review

Objective:  ICPC contestants can easily locate their contest room, dormitory, and entertainment facilities through the information provided by the mobile app.

Key features:

 This mobile app includes all the necessary information for contestants. This app typically contains a schedule of events, including the location and time of the contest room assignments. It may also provide details about the dormitory accommodations, such as the building, room numbers, and any other relevant instructions.

Furthermore, the mobile app can include information about nearby entertainment facilities, such as restaurants, cafes, recreational areas, or points of interest. This allows contestants to easily find places to relax, socialize, or explore during their free time.

The app may offer maps or directions to help contestants navigate between different locations. It’s essential for contestants to keep their mobile devices handy and consult the app regularly for updates and any changes in the provided information.

However, it’s worth noting that the specific details and features of the mobile app can vary from one ICPC contest to another, so contestants should always follow the instructions and guidelines provided by the contest organizers.

Playlist

LMS Android App Review

LMS Website Review

Objective: The main objective of our online-based LMS is to create an efficient, engaging, and accessible learning environment that supports the management, delivery, and assessment of educational content, fostering a seamless and effective learning experience for all stakeholders involved.

Project features: 

1. Course Management: LMS platforms provide tools for creating, organizing, and managing courses. Instructors can develop course structures, syllabi, and lesson plans, and manage enrollments and user permissions.

2. Content Creation and Delivery: LMS systems allow instructors to create and upload various types of content, including text, multimedia files, presentations, and assessments. They provide a platform for delivering content to learners in a structured and organized manner.

3. Communication and Collaboration: LMS platforms facilitate communication and collaboration between learners, instructors, and administrators. Features like discussion forums, chat rooms, and messaging enable learners to interact with peers and instructors, ask questions, and receive support.

4. Assessment and Grading: LMS platforms offer features for creating and administering online assessments, quizzes, and assignments. Instructors can set due dates, track submissions, and provide feedback, while learners can access their grades and performance feedback.

5. Progress Tracking and Reporting: LMS systems provide tools for tracking learners’ progress, including course completion status, assessment scores, and engagement metrics. Administrators and instructors can generate reports and analytics to gain insights into learner performance and course effectiveness.

6. Personalization and Adaptive Learning: Some LMS platforms incorporate features that personalize the learning experience based on individual learner needs. This may include adaptive assessments, personalized recommendations, and learning paths tailored to each learner’s progress and goals.

7. Mobile Accessibility: Many LMS platforms offer mobile apps or responsive design interfaces, allowing learners to access course materials and participate in learning activities using their smartphones or tablets, providing flexibility and convenience.

8. Gamification and Interactive Elements: LMS platforms may include gamification elements such as badges, leaderboards, and rewards to increase learner engagement and motivation. They may also support interactive elements like simulations, virtual labs, and interactive quizzes.

9. Integration and Compatibility: LMS systems often integrate with other tools and technologies, such as video conferencing platforms, learning analytics systems, and content authoring tools. This allows for seamless integration of various educational resources and technologies.

10. Scalability and User Management: LMS platforms are designed to handle a large number of users and courses simultaneously. They provide user management features for administrators to manage user accounts, roles, permissions, and enrollment processes.

In summary, the main objective of an online-based LMS website and mobile app is to create an efficient, engaging, and accessible learning environment that supports the management, delivery, and assessment of educational content, fostering a seamless and effective learning experience for all stakeholders involved.

My  Learning Management System (LMS)  is to provide a user-friendly and accessible platform for learners, instructors, and administrators to effectively manage and deliver educational content and activities.

Playlist

Flutter Single vendor Ecommerce User and Admin App

Objective: Flutter Single Vendor Ecommerce App is to provide a platform for a specific vendor or seller to sell their products or services directly to customers. It enables the vendor to showcase their products, manage inventory, process orders, and facilitate secure payment transactions through a mobile application developed using the Flutter framework. This type of app allows vendors to establish an online presence, reach a wider customer base, and provide a seamless shopping experience for their customers.

Key features :

1. Product Catalog: The app should provide a visually appealing and organized display of the vendor’s products or services, including images, descriptions, prices, and availability.

2. User Registration and Login: Users should be able to create accounts or log in using their credentials to access personalized features such as order history, wishlists, and saved payment methods.

3. Shopping Cart: A feature that allows users to add products to their cart, review the cart contents, update quantities, and proceed to checkout.

4. Secure Payment Gateway: Integration with a secure payment gateway to facilitate smooth and secure online transactions, providing users with multiple payment options like credit/debit cards, mobile wallets, or net banking.

5. Order Management: The vendor should have the ability to manage and track incoming orders, update order statuses, and send notifications to users regarding order confirmation, shipment, or delivery.

6. Search and Filtering: Users should be able to search for specific products or use filters to refine their search results based on criteria such as price, category, brand, or ratings.

7. Reviews and Ratings: Users can provide feedback and ratings for products, helping other users make informed purchasing decisions.

8. Wishlist: Users can save products they are interested in for future reference or purchase.

9. Push Notifications: The app can send notifications to users regarding new product arrivals, special offers, discounts, or order status updates.

10. User Profile: Users can manage their personal information, shipping addresses, payment methods, and account settings.

11. Social Sharing: Users can share product details or their shopping experience on social media platforms, increasing visibility and potential customer reach.

12. Analytics and Reporting: The vendor should have access to analytics and reports on sales, customer behavior, popular products, and other metrics to make informed business decisions.

These features contribute to a comprehensive and user-friendly Flutter Single Vendor Ecommerce App, enhancing the shopping experience for customers and streamlining operations for the vendor.

Playlist

IoT based Smart AC dimmer switch

IoT based Smart AC light dimmer system that allows you to control your lights and fans, as well as other devices, using a smartphone app or voice assistant. These systems typically require a hub or gateway that connects to our home’s Wi-Fi network and communicates with the smart devices’ is possible to use energy-efficient light bulbs, such as LED bulbs, as dimmable lights. AC light dimmer  is designed to work with dimmer switches and can be adjusted to produce different levels of light/fan output. This can allow you to use your lights as a dim light source, which can be useful for creating a cozy ambiance or conserving energy.

The features of this project:
We can control the brightness of the light.
It’s a small module  that can control the fan and light.
We can control it from anywhere in the world.
We can also show the light and fan status.
Energy bulbs can be used as dim light bulbs in our house.

Playlist

IoT based smart digital notice board

The rapid advancements in Internet of Things (IoT) technology have opened up new possibilities for creating smart and connected devices. In this research project, we present the design and implementation of an IoT-enabled digital display system that serves as a smart notice board for real-time information. The system leverages the power of IoT to provide a seamless and efficient way of disseminating information in various settings such as offices, schools, and public spaces.

The design of the system involves integrating a digital display panel with IoT sensors and connectivity modules. These sensors capture real-time data, including weather updates, event schedules, and notifications, which are then processed and displayed on the digital notice board. The system also includes an Android app that allows users to remotely control and manage the content displayed on the notice board.

The implementation of the system involves the integration of hardware components, such as Raspberry Pi, Arduino, and wireless communication modules, to establish connectivity between the digital display and the IoT network. The software components include the development of a web-based dashboard for managing the content and a mobile app for remote control.

The IoT-enabled digital display system offers several benefits, including real-time updates, easy content management, and remote accessibility. The system provides a dynamic and interactive way of sharing information, enhancing communication efficiency, and reducing the reliance on traditional static notice boards. Additionally, the system can be customized to display specific information based on the user’s preferences and location.

The evaluation of the system showcases its reliability, responsiveness, and scalability. Real-world deployment scenarios demonstrate its effectiveness in various settings, proving its potential for widespread adoption.

In conclusion, the design and implementation of the IoT-enabled digital display for real-time information system offer an innovative solution for modern communication needs. With its seamless integration of IoT technology, this system provides an efficient and dynamic way of sharing real-time information, making it a valuable tool in today’s connected world.

Playlist

Raspberry Pi-based multipurpose calling bell controlled with android app

This project presents an enhanced Raspberry Pi-based multipurpose calling bell system controlled by an Android application, allowing users to register with full information and providing personalized identification when the bell is triggered. The system aims to improve user identification and make it easier for the assistant to determine the caller’s identity and location.

The hardware component of the system consists of a Raspberry Pi, a Wi-Fi module, and a traditional calling bell mechanism. The Raspberry Pi is connected to the bell and hosts a server that communicates with the Android application over a Wi-Fi network.

The Android application is designed to facilitate user registration by providing a user-friendly interface for entering personal information such as name and room number. Upon registration, this information is stored in a database associated with the Raspberry Pi.

When a user triggers the bell using the Android application, the server on the Raspberry Pi retrieves the corresponding user information from the database. The calling bell rings with the user’s name and room number, providing a personalized identification signal.

The assistant can easily identify the caller by hearing the personalized identification from the calling bell. The user’s information, including name and room number, can be displayed on a connected screen or accessed through the Android application for quick reference.

The system ensures a secure and reliable communication link between the Android application and the Raspberry Pi, guaranteeing that the user’s information is transmitted and stored securely. Additionally, the system allows for easy management of registered users, enabling new registrations, updates, or deletions as necessary.

The enhanced Raspberry Pi-based multipurpose calling bell system provides an efficient solution for user identification and location determination. By incorporating personalized identification through user registration, the system streamlines the assistant’s ability to identify callers and improves overall operational efficiency.

Playlist

Digital Bangladesh Mela 2023

I attended the Digital Bangladesh Mela 2023 along with my five research team members. This event is known as the largest exposition in Bangladesh, dedicated to showcasing IT and ITES products and services. Its main objective is to foster collaborative relationships on both national and international levels, inviting trade delegations to witness the vast potential of the Bangladeshi ICT industry.

At the Digital Bangladesh Mela 2023, we presented our research projects to the attendees. Our projects covered a wide range of innovative ideas and technologies. These included an IoT-based health monitoring system, an automatic water pump controller with a reserve checker, a deep learning-based IoT system for remote monitoring and early detection of health issues in real-time, an IoT-based automatic pet feeder and water dispenser, a project focused on sexual harassment detection using a smart dress, and an IoT-based smart AC dimmer switch with an Android app.

During the event, visitors were curious and engaged with our projects. They went around, exploring the displays, and asked various questions about our research. It was a rewarding experience to see the interest and enthusiasm generated by our projects among the attendees.

Overall, our participation at the Digital Bangladesh Mela 2023 was a success, allowing us to showcase our research and contribute to the advancement of the ICT industry in Bangladesh. Finally we have achieved 5 national awards.

https://www.prothomalo.com/bangladesh/62i23tdgc0

https://www.facebook.com/thedailycampusbd/videos/676134407671849

https://www.tbsnews.net/features/panorama/quest-affordable-dress-detects-sexual-harassment-654910

Sexual harassment remains a pressing issue worldwide, posing a threat to the safety and well-
being of women in various environments. In recent years, the advent of Internet of Things (IoT)
devices and machine learning (ML) techniques has opened up new possibilities for addressing
this problem. This paper proposes a novel ML-supported IoT device designed specifically for
women’s self-security system to reduce sexual harassment.

The designed device integrates advanced ML algorithms with IoT technology to provide women
with a reliable and effective means of enhancing their personal safety. The device incorporates
various sensors such FSR, GPS collect real-time data on the users movements, location. This
data is then processed by ML algorithms to detect and identify potential threats or instances of
sexual harassment. To improve accuracy and responsiveness, the ML algorithms are trained on
large datasets comprising diverse scenarios of sexual harassment incidents. By leveraging
techniques such as deep learning and pattern recognition, the device can analyze the collected
data and classify it into different categories, such as unwanted physical contact, verbal
harassment, or stalking. Upon detection of a potential threat, the device employs multiple
communication channels to alert the user, as well as trusted contacts or authorities and nearest
police station with live location.

These communication channels can include mobile notifications, SMS alerts, or even automated
emergency calls to nearest three police stations. Additionally, the device is equipped with a panic button that the user can
activate in critical situations to seek immediate help. The user can activate and deactivated the dress using mobile app. Beside this user can add multiple trusted contracts to this app for emergency help.

Furthermore, the designed device
incorporates a cloud-based backend system that facilitates data storage, analysis, and continuous
model updates. This enables the device to adapt and improve its detection capabilities over time,
enhancing its effectiveness in identifying and addressing sexual harassment incidents.

Playlist

Introducing the AgriSense Pro, an ML-enabled IoT device for soil nutrients monitoring, crop recommendation, and food health reporting, complemented by a user-friendly mobile app. This state-of-the-art solution harnesses the power of machine learning and IoT technology to revolutionize farming practices and optimize agricultural outcomes.

Key Features:

1. Soil Nutrients Monitoring: The AgriSense Pro device is equipped with advanced sensors that measure crucial soil parameters such as pH levels, moisture content, temperature, and nutrient concentrations. These sensors provide real-time data, allowing farmers to monitor soil health and make informed decisions regarding fertilization strategies and irrigation schedules.

2. Machine Learning Crop Recommendations: Leveraging machine learning algorithms, the AgriSense Pro analyzes data from soil sensors, historical crop information, weather conditions, and other relevant factors. By doing so, it generates personalized crop recommendations, including ideal planting times, suitable crop varieties, and precise fertilization plans. This empowers farmers to optimize their crop selection and improve overall productivity.

3. Food Health Reporting: The AgriSense Pro device goes beyond soil monitoring by ensuring the health and safety of harvested produce. By analyzing data from embedded sensors, it assesses nutritional content, pesticide residues, and potential contaminants in the food. This valuable information enables farmers to verify the quality of their crops, make informed decisions, and instill consumer confidence.

4. User-Friendly Mobile App: The AgriSense Pro comes with a user-friendly mobile application, compatible with both iOS and Android platforms. The app provides farmers with seamless access to their device and data, allowing them to remotely monitor and control their agricultural operations. Users can view real-time sensor readings, track historical trends, receive actionable insights, and access crop recommendations and food health reports, all within the app’s intuitive interface.

5. Real-Time Alerts and Notifications: The AgriSense Pro app delivers real-time alerts and notifications to farmers regarding critical conditions such as water stress, nutrient deficiencies, disease outbreaks, or adverse weather conditions. These timely alerts empower farmers to take proactive measures, mitigate risks, and minimize potential crop losses.

6. Data Visualization and Analysis: The mobile app offers comprehensive data visualization and analysis tools. Farmers can view sensor data in intuitive graphs and charts, identify patterns, and gain valuable insights into soil health, crop performance, and food quality. These features enable farmers to make data-driven decisions, optimize resource allocation, and improve overall agricultural efficiency.

7. Seamless Cloud Connectivity: AgriSense Pro securely connects to the cloud, ensuring seamless data synchronization and storage. This cloud connectivity enables farmers to access their data anytime, anywhere, from multiple devices. It also facilitates collaboration among farmers and agricultural experts, allowing for shared insights and improved farming practices.

The AgriSense Pro, coupled with its user-friendly mobile app, empowers farmers with valuable insights, promotes sustainable farming practices, and enhances crop quality. By leveraging the capabilities of ML and IoT, this innovative solution paves the way for increased agricultural efficiency, reduced environmental impact, and improved food security.

Playlist

Smart shoe

An IoT-based smart shoe for health monitoring can be a valuable tool for tracking various metrics related to physical activity and overall health.

Features of an IoT-based smart shoe for health monitoring could include:

1. Step Counting: The shoe can track the number of steps you take throughout the day, providing insights into your overall activity level.

2. Calorie Expenditure: Based on the steps taken and the distance covered, the shoe can estimate the number of calories burned, giving you an idea of your energy expenditure.

3. Foot Pressure Mapping: The shoe can measure pressure points and weight distribution while walking or running, helping to identify potential issues or imbalances in your stride.

4. Heart Rate Monitoring: Some smart shoes may include sensors that can measure your heart rate, providing insights into your cardiovascular health and exercise intensity.

5. Real-time Feedback: The shoe can connect to a smartphone app or other devices via Bluetooth or Wi-Fi, allowing you to receive real-time feedback on your activity level, progress, and performance.

6. BMI measure: Take weight from every step and calculate BMI. 

Based on the measured BMI, here are some general guidelines exam for a healthy diet using ML:

1. Underweight (BMI less than 18.5):

   • Focus on nutrient-dense foods to increase calorie intake.
   • Include lean proteins (chicken, fish, legumes), whole grains, healthy fats (avocado, nuts, olive oil), and a variety of fruits and vegetables.
   • Consume regular meals and snacks to meet energy needs.

2. Normal Weight (BMI 18.5 to 24.9):

   • Maintain a balanced diet with a variety of foods from different food groups.
   • Include lean proteins, whole grains, healthy fats, fruits, and vegetables.
   • Pay attention to portion sizes and listen to your body’s hunger and fullness cues.

3. Overweight (BMI 25 to 29.9):

   • Focus on portion control and consuming fewer calories than expended.
   • Increase intake of fruits, vegetables, whole grains, and lean proteins.
   • Limit processed foods, sugary beverages, and high-fat foods.

4. Obese (BMI 30 or higher):

   • Seek guidance from a healthcare professional or registered dietitian for a personalized plan.
   • Emphasize a balanced diet with controlled portions and reduced calorie intake.
   • Incorporate regular physical activity to support weight loss goals.

Playlist

Enhancing Road Safety with an IoT-Based Eye Blink Monitoring System

Implementing this IoT-based eye blink monitoring system to enhance road safety is a commendable initiative. Such a system can help detect driver drowsiness or fatigue, which are common causes of accidents. Here’s an outline of how the system can work:

1. Hardware Setup:

   • Eye Blink Monitoring Device: Utilize an IoT-enabled device, such as a small camera or specialized eye-tracking sensor, to monitor the driver’s eye blinks.
   • Data Processing Unit: Connect the eye blink monitoring device to a processing unit, like a microcontroller or a small computer, capable of analyzing the captured eye blink data.
   • Communication Module: Incorporate a communication module, such as Wi-Fi or cellular connectivity, to transmit the data to a central monitoring system.

2. Data Collection and Processing:

   • Eye Blink Detection: Use computer vision algorithms or machine learning techniques to analyze the captured images from the eye blink monitoring device and detect abnormal eye blink patterns.
   • Data Analysis: Process the detected eye blink data in real-time to determine if the driver’s blink rate or patterns deviate from normal parameters, indicating potential drowsiness or fatigue.

3. Alert Generation:

   • Thresholds and Alerts: Set thresholds for abnormal eye blink patterns based on research or established guidelines. If the monitored blink patterns exceed these thresholds, trigger an alert.
   • Alert Mechanisms: Employ multiple alert mechanisms to ensure the driver is promptly notified. This can include audible alarms, visual indicators, haptic feedback, or even sending alerts to a mobile device or smartwatch worn by the driver.

4. Gradual Vehicle Slowdown:

   • System Integration: Integrate the eye blink monitoring system with the vehicle’s control system to enable gradual vehicle slowdown when abnormal eye blink patterns persist.
   • Vehicle Speed Control: Activate the braking or speed control mechanisms of the vehicle to reduce its speed safely. Gradual deceleration is essential to prevent abrupt stops that could cause accidents themselves.
   • Emergency Stop: If the driver’s abnormal eye blink patterns persist or worsen despite the gradual slowdown, activate an emergency stop mechanism to bring the vehicle to a complete halt safely.

5. Data Logging and Analysis:

   • Data Storage: Store the eye blink data and related events in a secure manner for future analysis and reporting.
   • Data Analytics: Perform regular analysis on the collected data to identify patterns, trends, and potential improvements to the system’s accuracy and effectiveness.

6. User Interface and Monitoring:

   • Dashboard: Develop a user-friendly dashboard or mobile application that provides real-time monitoring of the driver’s eye blink patterns, alerts, and vehicle status.
   • Monitoring Center: Establish a centralized monitoring center where trained personnel can oversee multiple vehicles and respond to emergency situations if necessary.

We rely entirely on the internet for our daily activities in the modern world. The project’s goal is to give the user a straightforward, personalized piece of technology that will help him or her properly man- age visitors who come to the location. The primary goals of this project are to intelligently operate the doorbell and notify the user of visitors by sending an image. The project’s objectives are to discuss an inexpensive IOT-based doorbell with increased security features using the Raspberry Pi platform and various components. This new idea effectively incorpo- rates the security-related problem prevalent in the current system. The Raspberry Pi will check to see if the person’s image matches the stored images in the database; if it doesn’t, a photo will be taken. The inter- net of things is used remotely to see the activities outside the door and get notifications when visitors are near the doorbell. The user’s mobile device’s application receives the photographs through Wi-Fi. The Rasp- berry Pi maintains the information of allowed individuals in the user-fed database. The modern security doorbell has no interior wiring and re- quires a few installation tools. The camera sensor in this smart doorbell will detect visitors and proclaim their names if they are frequent visitors and their information is stored in the database; else, they will be treated as strangers. And the owner’s application will receive all of these details.

Features 
– Equipped with advanced gas sensors for detecting and monitoring various gases, ensuring user safety in different environments.

Temperature Monitoring:
– Integrated temperature sensors provide real-time temperature data, helping users stay informed about their surroundings and avoid extreme conditions

GPS Tracking:
– Utilizes GPS technology to accurately track and record the wearer’s location, enhancing safety and enabling location-based services.

Real-Time Data Transmission:
– Enables continuous and seamless transmission of gas levels, temperature, and GPS data to a central server or cloud platform in real-time.

Wireless Connectivity:
– Utilizes IoT communication protocols to establish wireless connectivity, allowing for remote monitoring and control of the helmet’s functionalities.

Smart Alerts and Notifications:
– Issues instant alerts and notifications to the wearer or designated stakeholders in the event of abnormal gas levels, extreme temperatures, or specific location-based incidents.

Data Logging and Analysis:
– Logs historical data for gas levels, temperature variations, and location history, facilitating comprehensive analysis and trend identification.

User-Friendly Interface:
– Incorporates an intuitive and user-friendly interface, accessible through a mobile application or web portal, for easy configuration and monitoring.

Customizable Thresholds:
– Allows users to set personalized thresholds for gas levels and temperature, providing a customizable safety experience based on individual preferences and requirements.

By combining gas detection, temperature monitoring, and GPS tracking, the IoT-powered smart helmet provides a comprehensive safety solution for users in various environments.

This project introduces a cutting-edge Smart Surveillance Robot seamlessly integrated with Raspberry Pi technology. The robot leverages the power of Raspberry Pi for advanced surveillance capabilities, combining mobility with intelligent monitoring. The integration of Raspberry Pi facilitates real-time data processing, enabling the robot to perform autonomous surveillance tasks efficiently. This project aims to enhance the field of robotic surveillance by providing a versatile and adaptable solution for various applications.

Features:
1.Raspberry Pi Integration: The core of the surveillance robot is powered by Raspberry Pi, enabling high-performance computing for real-time data analysis and decision-making.

2. Autonomous Navigation: Equipped with intelligent sensors and algorithms, the robot navigates autonomously, avoiding obstacles and efficiently patrolling predefined areas.

3. Live Video Streaming: The robot features a high-quality camera with live video streaming capabilities, providing a real-time visual feed to the operator or a remote monitoring station.

4. Remote Control and Monitoring: Users can remotely control and monitor the robot through a user-friendly interface, enhancing the flexibility and accessibility of surveillance operations.

5. Object Recognition: Utilizing image processing algorithms, the robot can identify and track objects of interest, providing enhanced situational awareness during surveillance missions.

6. Customizable Alert System: The robot is equipped with a customizable alert system that can trigger notifications based on predefined criteria, ensuring timely responses to potential security threats.

7. Long Battery Life: With an efficient power management system, the robot boasts a long-lasting battery life, enabling extended surveillance missions without frequent recharging.

8. Compact and Robust Design: The robot is designed to be compact and robust, making it suitable for deployment in various environments, including indoor and outdoor settings.

9. Open-Source Software: The project encourages collaboration and customization by using open-source software, allowing developers to modify and enhance the robot’s functionality according to specific needs.

10. Scalability: The architecture of the Smart Surveillance Robot is scalable, allowing for the integration of additional sensors and features to adapt to evolving surveillance requirement

I have talked about developing and migrating innovation ideas to prototypes and IoT-based products in Bangladesh, like in any other region, presents a unique set of challenges. Here is a list of problem factors that one might encounter during this process in the Bangladeshi context:

1. Limited Research and Development Infrastructure:
Challenge: Inadequate research and development infrastructure, including laboratories and testing facilities, may hinder the efficient development and testing of innovative ideas.
Impact: Slows down the prototyping process and can result in suboptimal product quality.

2. Resource Constraints:
Challenge: Limited access to funds, skilled personnel, and advanced technologies can be significant barriers to the development of sophisticated IoT-based prototypes.
Impact: Delays in the development timeline, reduced innovation potential, and increased risk of project abandonment.

3. Lack of Interdisciplinary Collaboration:
Challenge: Limited collaboration between different disciplines (engineering, data science, design) may lead to siloed development, hindering the creation of holistic and integrated IoT solutions.
Impact: Reduced efficiency missed opportunities for innovation, and a less comprehensive product.

 4. Power and Connectivity Issues:
Challenge: Irregular power supply and limited internet connectivity in certain regions can pose challenges, especially for IoT products that rely on continuous connectivity.
Impact:  Decreased reliability, increased maintenance requirements, and limited scalability of IoT solutions.

5. Regulatory and Compliance Barriers:
Challenge: Complex and evolving regulatory frameworks may pose hurdles in obtaining necessary approvals for deploying IoT solutions.
Impact: Delays in product launch, increased costs, and potential legal issues.

6. Limited Market Awareness and Acceptance:
Challenge: Limited awareness among potential users and stakeholders about the benefits and applications of IoT-based products.
Impact: Difficulty in market adoption, slow product uptake, and challenges in demonstrating the value proposition.

7. Challenges in Data Security and Privacy:
Challenge: Ensuring robust data security and privacy measures can be challenging due to the lack of standardized practices and awareness.
Impact: Potential breaches may lead to loss of trust, legal implications, and resistance to adopting IoT solutions.

8. Educational Gaps and Skill Shortages:
Challenge:  Insufficient educational programs and training opportunities for relevant skills (IoT development, machine learning) may limit the pool of qualified professionals.
Impact: Difficulty in finding skilled workforce, increased costs in hiring, and slower development timelines.

 9. Environmental Factors:
Challenge: Harsh environmental conditions, such as extreme temperatures and humidity, may pose challenges in ensuring the durability and longevity of IoT devices.
Impact:  Increased maintenance requirements, higher product failure rates, and potential safety concerns.

10. Limited Access to Global Networks:
Challenge:  Limited connectivity to global innovation networks may hinder access to international collaboration, funding, and knowledge sharing.
Impact: Reduced exposure to global best practices, slower technology adoption, and missed opportunities for collaboration.

Addressing these challenges requires a collaborative effort from various stakeholders, including government bodies, educational institutions, industry players, and research organizations. Overcoming these hurdles can contribute to the successful development and migration of innovative ideas to prototypes and IoT-based products in Bangladesh.

Empower Bangladesh through the seamless integration of IoT and AI technologies to create a Smart Bangladesh by 2041. a2i mission is to foster sustainable development, enhance quality of life, and ensure inclusivity, by leveraging innovative solutions that harness the power of the Internet of Things (IoT) and Artificial Intelligence (AI).

We envision a future where Bangladesh stands as a beacon of technological advancement, driven by a Smart Bangladesh Campaign 2041. BD govt vision is to build a connected nation where IoT and AI converge to optimize resource utilization, promote environmental sustainability, and elevate the standard of living for every citizen. Through this transformative journey, we aim to position Bangladesh as a global leader in smart, efficient, and inclusive governance and development.

I organized the IoT-based Research Project Showcase 2022 at BUBT, featuring over 20 projects that I developed and supervised. Among the showcased projects were innovative solutions such as an Automatic Water Pump Controller, Smart Sitting Posture Monitoring System, Soil Nutrient Monitoring and Crop Recommendation, Remote Health Monitoring System, and Smart Bioflock.

IoT (Internet of Things) based smart lockers incorporate various features to enhance security, convenience, and efficiency. Here are features found in developed IoT-based smart lockers:

1. Remote Access and Control:
– Users can remotely access and control the lockers through a mobile app or a web interface.
– Lock and unlock functionality from anywhere, providing flexibility and convenience.

2. Biometric Authentication:
– Integration of biometric authentication methods such as fingerprint or facial recognition for enhanced security.

3. RFID/NFC Technology:
– Use of RFID (Radio-Frequency Identification) or NFC (Near Field Communication) technology for contactless access and identification.

4. Mobile App Integration:
– A dedicated mobile app for users to manage and monitor locker status, receive notifications, and control access permissions.

5. Real-time Monitoring and Notifications:
– Sensors and cameras for real-time monitoring of locker status and sending notifications to users about locker activity.

6. Cloud Connectivity:
– Integration with cloud services for data storage, analysis, and remote management of lockers.

7. Automated Locking and Unlocking:
– Automated scheduling or triggered events for locking and unlocking the lockers based on predetermined criteria.

8. User Access Management:
– Administrators can easily manage and grant/revoke access permissions for users.

9. Integration with Smart Home Systems:
– Compatibility with smart home ecosystems for a more comprehensive home automation experience.

The Bangladesh University of Business and Technology recently conducted a dynamic and hands-on workshop focused on the practical application of IoT (Internet of Things). I had the honor of being invited as both a keynote speaker and a facilitator for the event. The workshop witnessed a participation of over 100 enthusiastic students, who were organized into 20 groups, each comprising 5 members.

During the workshop, I conducted a comprehensive session structured in three phases. In the initial phase, I dedicated my efforts to enhancing the students’ skills in Arduino, providing them with a solid foundation for IoT development. Moving into the second phase, we delved into the implementation of three fundamental projects that formed the core of IoT applications. This hands-on experience allowed the students to gain practical insights into real-life IoT scenarios.

The third and final phase of the workshop was particularly exciting as it involved the students applying their newfound knowledge and skills to implement 20 mini projects. This segment aimed to encourage creativity and problem-solving, allowing each group to explore and execute unique IoT solutions. The diversity of these mini projects not only showcased the versatility of IoT applications but also empowered the students to innovate and collaborate effectively.

The workshop as a whole not only equipped the participants with theoretical knowledge but also provided them with valuable practical experience. It was a rewarding experience to witness the enthusiasm and engagement of the students as they actively participated in each phase, contributing to the overall success of the IoT workshop.

Successfully completed preliminary selection round of districts wise Digital Bangladesh innovation award 2022. In where was present honorable DC sir, ADC, DD, ADD, AC, Dio, Civil surgeon, DEO sir and also presented honorable judge Md. Nashir Uddin sir head of ICT dept RGC. I have worked there as a Tech Expert and judge. I Feel proud to work with them.

convolutional neural network; Internet of Things; deep learning; medical IoT; sensor

Education Quality

MSc in Computer Computer Science and Engineering

The training provided by universities in order to prepare people to work in various sectors of the economy or areas of culture.

Bachelor of Science in Computer Science and Engineering

Higher education is tertiary education leading to award of an academic degree. Higher education, also called post-secondary education.

Higher Secondary School Certificate

HIgher education or post-primary education covers two phases on the International Standard Classification of Education scale.

Secondary School Certificate

Secondary education or post-primary education covers two phases on the International Standard Classification of Education scale.

Design Skill

Photoshop

GUi

ADOBE XD.

ADOBE ILLUSTRATOR

DESIGN

Development Skill

PHP and Laravel

Flutter & Android

IoT, ML & DL

Python

Arduino & Raspberry Pi

Java.

HTML, CSS & JavaScript

Development Skill

PHP and Laravel

Flutter & Android

IoT, ML & DL

Python

Arduino & Raspberry Pi

Java.

HTML, CSS & JavaScript

Design Skill

Photoshop

GUi

ADOBE XD.

ADOBE ILLUSTRATOR

DESIGN

Job Experience

CEO

Our aim is to define a new dimension of quality in custom software development, IT related consulting, IT and business process outsourcing services. That is why, the logo of Techideasolution Consult is “the art of software development “, which in business language means “quality beyond the expectations of the customer “. In simple words, the objective of Techideasolution Consult is the total satisfaction of its customers..

Lead Researcher

Lead Researcher, Dept. of Internet of Things and Block Chain of the Advanced Machine Intelligence Research Lab (AMIR Lab) from January, 2023, to the present. As a Researcher, demonstrating remarkable dedication, passion, and scholarly acumen in the field of AI and IoT. I diligence and commitment to pioneering research have been exemplary, propelling him to the role of Lead Researcher, showcasing consistent growth and leadership within our organization. I have led numerous groundbreaking research projects, several of which have been published in esteemed scientific journals, book chapters, and conferences, significantly contributing to the advancement of knowledge in their respective domains. Notable publications include: Deep learning-based IoT system for remote monitoring and early detection of health issues in realtime [Published @Sensors (Q1 Journal)] Machine learning enabled IoT system for soil nutrients monitoring and crop recommendation [Published @Journals of Agriculture and Food Research (Q1 Journal)]

IOT full stack developer and Consultant

Capture detail functional and nonfunctional requirements from the clients. • Finalize architecture and develop details design documents. • Hardware design (Microcontroller, sensors, circuit, gateway) for the need of client. • Use NPK, GSM, MQ2, MQ3, MQ5, Node MCU, Arduino Uno, ESP8266 Module. • Test the individual I/O devices in IoT truck system. • Design data model for MySQL database to store application metadata and Cloud to store IoT sensor data. • Build RDBMS database system with SQL and MySQL. • Build NDBMS database system with NoSQL, Firebase and MongoDB.

Inventor and Director

Research and Innovation project title: IOT and Deep learning embedded VLS car starting device to ensure your transportation safety.
Achievement Rewarded from ICT Ministry of Bangladesh as a portfolio Startup.
Are you currently raising funds? : Yes Ready for which round? : Series_b How much? (In USD) :
12K What purpose? : Operational Their last funding round : Series A FUNDING RAISED (IN USD) : 155K Project features: • Identifying fake drivers. • Controlling car start according to valid license. • Identifying fake license and validity. • Vehicle tracking. • Vehicle driving time controlling. • Controlling driving rules violators. • Driver sleep alert. • Taking control of crime making vehicles.

Full-stack Developer

Designing and implementing user interfaces for mobile, web, and desktop applications using Flutter. Developing backend services using .NET technologies such as ASP.NET and Entity Framework. Creating and maintaining databases using technologies such as SQL Server, MySQL, or PostgreSQL. Integrating third-party APIs and services into your applications.

Android and IOS developer

Team lead of Android and IOS team . Developed multiple website and android app including ecommerce

Trainer Experience

University lecturer

My duty is to provide an engaging and enriching learning experience for students, combining their expertise in a particular subject area with effective teaching methodologies to foster intellectual growth and development.

University Lecturer

My duty is to provide an engaging and enriching learning experience for students, combining their expertise in a particular subject area with effective teaching methodologies to foster intellectual growth and development.

Adjunct Faculty

My duty is to provide an engaging and enriching learning experience for students, combining their expertise in a particular subject area like web engineering lab with effective teaching methodologies to foster intellectual growth and development.

University Lecturer

My duty is to provide an engaging and enriching learning experience for students, combining their expertise in a particular subject area with effective teaching methodologies to foster intellectual growth and development.

Adjunct Faculty

My Duty was to provide effective instruction, guide and mentor students, and contribute to the academic and personal development of individuals pursuing higher education. They play a crucial role in creating an environment that fosters learning, critical thinking, and the acquisition of knowledge and skills relevant to students’ academic and professional growth.

Head of ICT Dept.

My Duty was to provide effective instruction, guide and mentor students, and contribute to the academic and personal development of individuals pursuing higher education. They play a crucial role in creating an environment that fosters learning, critical thinking, and the acquisition of knowledge and skills relevant to students’ academic and professional growth.

Lecturer (University and Medical Admission Coaching)

Objective of a university admission coaching teacher is to support students throughout the application process, empowering them to make informed decisions and present their best selves to universities. Their duty is to provide guidance, resources, and expertise to help students navigate the competitive landscape of university admissions successfully.

Completed Research

Deep Learning-based IoT System for Remote Monitoring and Early Detection of Health Issues in Real-Time

Journal name: Sensors Manuscript ID: sensors-2408418 Type of manuscript: Article

With an aging population and increased chronic diseases, remote health monitoring has become critical to improving patient care and reducing healthcare costs. The Internet of Things (IoT) has recently drawn much interest as a potential remote health monitoring remedy. IoT-based systems can gather and analyze a wide range of physiological data, including blood oxygen levels, heart rates, body temperatures, and ECG signals, and then provide real-time feedback to medical professionals so they may take appropriate action. This paper proposes an IoT-based system for remote monitoring and early detection of health problems in home clinical settings. The system comprises three sensor types: MAX30100 for measuring blood oxygen level and heart rate; AD8232 ECG sensor module for ECG signal data; and MLX90614 non-contact infrared sensor for body temperature. The collected data is transmitted to a server using the MQTT protocol. A pre-trained deep learning model based on a convolutional neural network with an attention layer is used on the server to classify potential diseases. The system can detect five different categories of heartbeats: Normal Beat, Supraventricular premature beat, Premature ventricular contraction, Fusion of ventricular, and Unclassifiable beat from ECG sensor data and fever or non-fever from body temperature. Furthermore, the system provides a report on the patient’s heart rate and oxygen level, indicating whether they are within normal ranges or not. The system automatically connects the user to the nearest doctor for further diagnosis if any critical abnormalities are detected.

Machine learning enabled IoT system for soil nutrients monitoring and crop recommendation

Journal of Agriculture and Food Research, ELSEVIER, Q1

Agriculture plays a vital role in feeding the growing global population. But optimizing crop production and resource management remains a significant challenge for farmers. This research paper proposes an innovative ML-enabled IoT device to monitor soil nutrients and provide accurate crop recommendations. The device utilizes the FC-28 sensor, DHT11 sensor, and JXBS-3001 sensor to collect real-time data on soil composition, moisture, humidity, temperature, and for nutrient levels. The collected data is transmitted to a server using the MQTT protocol. Machine learning algorithms are employed to analyze the collected data and generate customized recommendations, including a possible high-yielding crop list, fertilizer names, and its amount based on crop requirements and soil nutrients. Furthermore, the applied fertilizers and treatments to the field during production are stored in the database. As a result, it has become possible to determine the quality of the produce at the consumer level through the mobile app. The system’s effectiveness is evaluated through field experiments, comparing its performance with traditional methods. The results demonstrate the device’s ability to enhance crop productivity and optimize resource utilization, promoting sustainable agricultural practices and food security. The research contributes to IoT-enabled agriculture, demonstrating the potential of ML techniques in improving soil nutrient management, facilitating informed decision-making about crop fertilizers, and assessing the quality of produced crops at the consumer level.

Observing Medical Conditions and Dietary Patterns Through External Sensors and Smart Shoes: A Fusion of ML and IoT Technologies

Journal of Helyon

The rise in chronic health conditions driven by poor dietary habits and sedentary lifestyles underscores the need for innovative, personalized health monitoring solutions. This study introduces an IoT-enabled smart shoe sys- tem that integrates machine learning (ML) to monitor medical conditions and dietary patterns. Equipped with sensors such as Max30100 (pulse and oxygen), LM35 (temperature), and FSR (pressure), the system captured real- time physiological and activity data. The MQTT protocol ensures seamless transmission of data to the cloud for remote accessibility and monitoring. A dataset of 5,000 records, including age, sex, BMI, and fast food consumption frequency, supports ML-driven health classification and personalized dietary recommendations. Advanced ML models such as XGBoost, CatBoost, Gra- dient Boosting, and SVM are utilized, with XGBoost achieving the high- est accuracy of 98%. Key health parameters such as Basal Metabolic Rate (BMR) and Total Daily Energy Expenditure (TDEE) are computed to guide diet planning, while a mobile app and web application provides user-friendly insights. This fusion of IoT and ML technologies paves the way for smarter healthcare systems, enhancing individual well-being and promoting healthier lifestyles.

The Ethics of AI Technology in Academic Work: Assessing the Line Between Assistance and Plagiarism

Journal of electrical and computer engineering

Integrating AI into academia has transformed educational practices and en- hanced personalized learning and problem-solving capabilities. However, this also raises significant ethical concerns regarding the balance between legitimate assistance and plagiarism. This study investigated public perceptions of AI in academic settings, focusing on its impact on effectiveness, dependency, and eth- ical considerations. A survey of 498 respondents from various educational roles was conducted and the data were analyzed using SPSS for descriptive statistics, chi-square tests, and regression analysis. The results identified a significant cor- relation between people’s educational roles and their interaction with AI tools (χ2(6) = 16.488, p = 0.036), reflecting the diverse patterns of interaction within the academic community. More frequent use of AI was linked to less de- pendency (β = −0.298, p < 0.001), which contradicts the widespread myths of over-reliance. Age and educational role had limited explanatory value in per- ception of AI dependency issues (R2 = 0.033). The findings indicate a strong correlation between AI usage frequency and dependency levels, with increased exposure to AI fostering a more critical rather than a dependent approach. Con- cerns regarding unethical use, inaccuracies in AI-generated content, and the need for clear institutional policies were highlighted. The study underscores the im- portance of responsible AI integration, advocating for ethical frameworks and educational interventions to ensure AI enhances learning without compromising academic integrity.

IoT-Enabled Eye Blink Detection for Accident Alerts and Car Motion Control

Conference

Driver drowsiness is a leading cause of road acci- dents worldwide, contributing to thousands of crashes, injuries, and fatalities annually. As drivers become fatigued, their alertness decreases, reaction times slow, and risk of making poor decisions increases, particularly during long journeys or nighttime driving. To address this critical safety concern, this study presents an IoT- enabled eye-blink detection system designed to monitor driver alertness in real time and help prevent accidents before they occur. The proposed system uses a dashboard-mounted camera to continuously track the eye movements of the driver. By applying computer vision techniques, such as the Eye Aspect Ratio (EAR) and the Viola-Jones algorithm, the system can detect signs of drowsiness, such as prolonged eye closures or abnormal blinking patterns. Once drowsiness is detected, the system triggers audio, visual, and haptic alerts to refocus the driver’s attention or prompt them to take a break. An IoT-based microcontroller processes the collected data and communicates alerts through connected systems, allowing for remote monitoring or additional safety responses. A custom-labeled dataset of ’normal’ and ’drowsy’ eye states was used for model training and evaluation, and the experimental results demonstrated high accuracy in real- time detection. Although the system performs well under most conditions, factors such as low lighting or eye occlusion (e.g., sunglasses) may affect its performance. Future improvements will focus on addressing these limitations and incorporating additional biometric data to enhance reliability. Overall, this study presents a practical and scalable solution for reducing drowsy driving and improving road safety.

IoT and ML Enabled Smart Tiffin Box: A Comprehensive Assessment of Food Quality Monitoring and Enhancement for Modern Lifestyles

Journal of Edge Computing

In this world, technology plays a crucial role in shaping everyday lives. Integrating the Internet of Things (IoT) and machine learning (ML) into everyday items addresses current challenges and sets the stage for future innovations across diverse fields. This research explores the development and impact of a smart tiffin box, which leverages IoT and ML to monitor food quality, thereby offering a glimpse into the potential of these technologies to revolutionize everyday life. The proposed smart tiffin box is equipped with three specialized sensors: MQ136, MQ137, and TGS-2611, designed for collecting data to detect the presence of ($H_2S$), ($NH_3$), and ($CH_4$), respectively, offering real-time insights into the freshness and safety of the stored food. By analyzing the data from these sensors using various ML algorithms, the system can predict food spoilage, ensuring a higher level of food safety and reducing waste. The sensor values were classified using four algorithms: XGBoost, CatBoost, Gradient Boosting, and Support Vector Machine (SVM). The maximum accuracy was 99.75% with XGBoost and also had excellent precision, recall, and F1 score, thereby establishing that it is a reliable predictor in the prediction of spoilage. Gradient Boosting had the lowest accuracy at 85%. The ability of the system to track major gases and classify spoilage status in real-time demonstrated that the system can reduce food wastage and enhance food safety. This study demonstrated that ensemble boosting algorithms outperform traditional classifiers for this objective. With rigorous user testing and technical assessments, the intelligent tiffin box was found to be able to revolutionize food quality inspection and food consumption and became an essential device for health-conscious individuals of the modern world by encouraging healthier food habits and improved food hygiene.

Ongoing Research

IoMT Book chapter IGI

Synthetic medical data Book chapter IGI

Prevent Emerging attack on IoT

Short news recommend using AI

Army health monitoring system in realtime

Baby born slippery pattern

Jaundice prediction using ensemble ML technique with smart phone app

Achievements and Awards

Honored with the Best Supervisor Award at the Daffodil International University ICT Carnival 2018 for supervising the project titled ‘IoT-Based Cost-Effective Automatic Water Level and Pump Control.

ICT carnival 2018

Served as a judge for the Web and App Development category at the Daffodil International University ICT Carnival 2018.

ICT carnival 2018

Supervised and received the Best Contribution Award for Smart Institute Development at CFM College.

CFM college

Honored with the Best Supervision Award at the Jahangirnagar University Science fair 2018

CFM college

Activities Gallery

International innovation award from ICT Ministry of Bangladesh as a portfolio Startup on Bangabandhu Innovation Grant 2021. Are you currently raising funds? : Yes Ready for which round? : Series_b How much? (In USD) : 12K What purpose? : Operational Their last funding round : Series A FUNDING RAISED (IN USD) : 155K

National Innovation Award from ICT Ministry of Bangladesh. Fund Raised (IN USD): 2800 Innovation Title: Cost Effective Automatic Water Pump Controlling System for Domestic Application using IoT

ICPC Schedule APP:
This mobile app includes all the necessary information for contestants. This app typically contains a schedule of events, including the location and time of the contest room assignments. It may also provide details about the dormitory accommodations, such as the building, room numbers, and any other relevant instructions like the mobile app can include information about nearby entertainment facilities.

Digital Bangladesh Mela 2023 price giving ceremony moment. Under my supervision, five teams presented IoT and ML-enabled innovation projects in the competition, securing places among 57 teams.

A Novel ML-Supported IoT Device for Womens Self-Security System to reduce sexual harassment media coverage by business standard. Link: https://www.tbsnews.net/features/panorama/quest-affordable-dress-detects-sexual-harassment-654910

A Novel ML-Supported IoT Device for Womens Self-Security System to reduce sexual harassment. Media coverage by Prothom alo link: https://www.prothomalo.com/bangladesh/62i23tdgc0

A Novel ML-Supported IoT Device for Womens Self-Security System to reduce sexual harassment media coverage by The daily Campus. Link: https://www.facebook.com/thedailycampusbd/videos/676134407671849

IoT and ML embedded automatic vehicles indicator and smart lock. media coverage : https://www.youtube.com/watch?v=Di2iTlo4fZQ

Online learning management system media coverage by 71 TV Link: https://www.youtube.com/watch?v=EsUEtBfdukM

Online learning management system media coverage by news24 Link: https://www.youtube.com/watch?v=us8ApUEFYH4

My loving IoT lab

IoT second batch

Second batch IoT project display

Second batch IoT project display

Second batch IoT project display

3rd batch IoT project display

IoT project display

IoT Based Smart helmet project display

Deep Learning-Based IoT System for Remote Monitoring and Early Detection of Health Issues in Real-Time

Deep Learning-Based IoT System for Remote Monitoring and Early Detection of Health Issues in Real-Time

IoT 5th batch

IoT 4th batch

Collaboration workshop between BUBT and A2i under my supervision(AWPC)

Collaboration workshop between BUBT and A2i under my supervision(AWPC)

Collaboration workshop between BUBT and A2i under my supervision(Smart helmet)

Collaboration workshop between BUBT and A2i under my supervision(Smart sexual harassment detection dress)

Collaboration workshop between BUBT and A2i under my supervision(Manhall monitoring system)

Collaboration workshop between BUBT and A2i under my supervision(Smart home)

Collaboration workshop between BUBT and A2i under my supervision(Smart agriculture system)

Collaboration workshop between BUBT and A2i under my supervision(Smart shoe)

Digital Bangladesh mela 2023 organized by ICT division. I have join with my 5 research based IoT projects and my teams.

Digital Bangladesh mela 2023 organized by ICT division. I have join with my 5 research based IoT projects and my teams.

Digital Bangladesh mela 2023 organized by ICT division. I have join with my 5 research based IoT projects and my teams.

Digital Bangladesh mela 2023 organized by ICT division. I have join with my 5 research based IoT projects and my teams.

Digital Bangladesh mela 2023 organized by ICT division. I have join with my 5 research based IoT projects and my teams.

Digital Bangladesh mela 2023 organized by ICT division. I have join with my 5 research based IoT projects and my teams.

Digital Bangladesh mela 2023 organized by ICT division. I have join with my 5 research based IoT projects and my teams.

Digital Bangladesh mela 2023 organized by ICT division. I have join with my 5 research based IoT projects and my teams.

Digital Bangladesh mela 2023 organized by ICT division. I have join with my 5 research based IoT projects and my teams.

Digital Bangladesh mela 2023 organized by ICT division. I have join with my 5 research based IoT projects and my teams.

Digital Bangladesh mela 2023 organized by ICT division. I have join with my 5 research based IoT projects and my teams.

Digital Bangladesh mela 2023 organized by ICT division. I have join with my 5 research based IoT projects and my teams.

IoT based smart coddle system

IoT based sexual harassment detection system

IoT based line follower robot

IoT based Air quality monitoring system

IoT based automatic water pump controller

9 IoT based innovation projects

IoT based smart servelence

IoT based smart home

IoT based patient health monitoring system

IoT based smart locker

IoT based puff mixing

IoT based sitting posture monitoring chair

IoT based smart home

IoT based dis infection tunnel

IoT based dengu mosquito larva detection system

IoT based light dimmer

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