IoT and ML-Embedded sitting posture monitoring system.
- Purpose Research and social awareness
- Date 15 jan 2023
- Services Help prevent discomfort or injuries associated with poor sitting positions.
- Thanks BUBT, JU, Media, DU, BUET
Having real enthusiasm, I want to build up my career in a prominent & progressive organization that can take full advantage of my comprehensive knowledge & skill thus offers career growth opportunity through proven performance in my knowledge, skill and effort in the effective field related with work.
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IoT development involves building smart devices and systems to connect and automate everyday objects and processes.
Developing intelligent systems and devices that can communicate, analyze data, and learn from their surroundings.
Teaching involves creating lesson plans, grading assignments, and providing feedback to students to promote their growth and development.
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:
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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:
Water and electricity wastage minimization: The device is designed to minimize the wastage of water and electricity, likely through efficient motor control and monitoring.
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.
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.
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.
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.
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.
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.
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.
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:
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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 :
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.
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.
Shopping Cart: A feature that allows users to add products to their cart, review the cart contents, update quantities, and proceed to checkout.
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.
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.
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.
Reviews and Ratings: Users can provide feedback and ratings for products, helping other users make informed purchasing decisions.
Wishlist: Users can save products they are interested in for future reference or purchase.
Push Notifications: The app can send notifications to users regarding new product arrivals, special offers, discounts, or order status updates.
User Profile: Users can manage their personal information, shipping addresses, payment methods, and account settings.
Social Sharing: Users can share product details or their shopping experience on social media platforms, increasing visibility and potential customer reach.
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.
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.
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.
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.
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.
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:
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.
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.
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.
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.
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.
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.
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.
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:
Step Counting: The shoe can track the number of steps you take throughout the day, providing insights into your overall activity level.
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.
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.
Heart Rate Monitoring: Some smart shoes may include sensors that can measure your heart rate, providing insights into your cardiovascular health and exercise intensity.
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.
Based on the measured BMI, here are some general guidelines exam for a healthy diet using ML:
Underweight (BMI less than 18.5):
Normal Weight (BMI 18.5 to 24.9):
Overweight (BMI 25 to 29.9):
Obese (BMI 30 or higher):
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:
Hardware Setup:
Data Collection and Processing:
Alert Generation:
Gradual Vehicle Slowdown:
Data Logging and Analysis:
User Interface and Monitoring:
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.
The IoT lab has established itself as a leading hub for research and innovation in the fields of IoT and Machine Learning, having successfully completed over 35 projects. These projects encompass critical domains such as healthcare, agriculture, and transportation, addressing real-world challenges through advanced technology solutions. The lab’s achievements include five prestigious national and international awards, highlighting its contribution to the global research community. Additionally, the team has published over 15 papers in reputed journals and conferences, further emphasizing their commitment to advancing knowledge and practical applications in these domains.
The training provided by universities in order to prepare people to work in various sectors of the economy or areas of culture.
Higher education is tertiary education leading to award of an academic degree. Higher education, also called post-secondary education.
HIgher education or post-primary education covers two phases on the International Standard Classification of Education scale.
Secondary education or post-primary education covers two phases on the International Standard Classification of Education scale.
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, 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)]
The education should be very interactual. Ut tincidunt est ac dolor aliquam sodales. Phasellus sed mauris hendrerit, laoreet sem in, lobortis mauris hendrerit ante.
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.
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.
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.
Team lead of Android and IOS team . Developed multiple website and android app including ecommerce
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.
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.
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.
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.
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.
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.
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.
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.
Innovation Title: IoT Based VLS car starting device.
Innovation Title: Cost Effective Automatic Water Pump Controlling System for Domestic Application using IoT
Innovation Title: Cost Effective Automatic Water Pump Controlling System for Domestic Application using IoT.
Innovation Title: Sexual herrasment detection with smat dress.
Innovation Title: Automatic pet feeder and monitoring system.
Innovation Title: IoT Based AC dimmer switch with remote controlling
Project Title: ICPC Asia Dhaka Regional Contest Schedule App
work title: Entertain provide member to the contestant of ASIA Dhaka regional contest 2021.
The Computer Science and Engineering Department of Bangladesh University of Business and Technology organized an innovation project display competition under my supervision. Over 20 teams participated in the competition.
Supervised Smart Bangladesh 2041 campaign program: collaboration between A2i and Bangladesh university of business and technology
Under my supervision, five teams presented IoT and ML-enabled innovation projects in the competition, securing places among 57 teams.
By developing an IoT lab at Bangladesh University of Business and Technology, I engaged more students through innovative projects like a machine learning-enabled IoT system for soil nutrient monitoring and crop recommendation, and a deep learning-based IoT system for remote health monitoring and early detection in real-time. As a result, within five months, students developed over 40 IoT innovation projects and won several national awards.
IoT-based server room monitoring and control system with an Android mobile app.
More than seven teams worked on IoT and ML projects under my supervision. As a result, five conference papers and three journal articles were published within the year.
Enhancing Students' programming skills through problem solving conducted by Dr. Yonghui Wu
Project Title: ICPC Asia Dhaka Regional Contest Schedule App
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.
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
I am incredibly proud to have the opportunity to work with such a remarkable student. Throughout our time together, it has become evident that he possesses an extraordinary level of dedication and commitment to his research. His enthusiasm and energy are contagious, inspiring those around him to strive for excellence. Not only does he demonstrate exceptional work ethic, but he also approaches his research with an open mind, consistently seeking innovative solutions and pushing the boundaries of knowledge. His ability to think critically and creatively sets him apart, allowing him to tackle complex problems with ease. Moreover, his honesty and integrity are truly commendable. He upholds the highest ethical standards, ensuring the validity and reliability of his findings. His genuine passion for the subject matter is evident in every aspect of his work, making him a true asset to our research team.
I must highlight your honesty and integrity. Your ethical approach to research is of utmost importance, and your adherence to high standards is truly commendable. Your honesty and integrity serve as a solid foundation for your work and contribute to the credibility and reliability of your research findings. As your teacher, it brings me immense joy and satisfaction to have had the opportunity to guide and witness your growth as a researcher. Your exceptional qualities and dedication make you stand out among your peers. I am confident that your future holds great promise, and I have no doubt that you will continue to make significant contributions to your field.
I wanted to take a moment to express my heartfelt appreciation for your outstanding contributions and remarkable qualities as a member of our esteemed faculty. As the Vice Chancellor of this institution, I have had the privilege of working alongside exceptional colleagues, and you, without a doubt, stand out as one of my favorites. Your unwavering dedication, commitment, and expertise have greatly impacted our institution and its academic community. Your passion for teaching and research is evident in every aspect of your work. The enthusiasm and energy you bring to the classroom and your interactions with students are truly commendable. Not only are you an exceptional teacher, but you are also a trusted mentor and role model to both students and fellow faculty members. Your willingness to share your knowledge, provide guidance, and support the professional growth of others is invaluable. The impact you have made on the lives of those around you is immeasurable. Your strong work ethic and relentless pursuit of excellence have resulted in significant research contributions. Your groundbreaking work in your field has not only advanced knowledge but has also earned you a well-deserved reputation for intellectual rigor and innovation. Your research achievements have brought prestige to our institution and have inspired others to pursue excellence in their own endeavors.
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Becoming an IoT expert requires a combination of technical knowledge, practical experience, and continuous learning. Here are some steps you can take to become proficient in IoT:
Remember that expertise in IoT is built over time through hands-on experience and a willingness to keep up with advancements. Continuously challenging yourself and applying your knowledge in practical scenarios will help you become an IoT expert.
Becoming an expert Flutter app developer requires a combination of learning, practice, and hands-on experience. Here are some steps you can follow to become a proficient Flutter developer:
Remember, becoming an expert takes time and dedication. Be patient, persistent, and keep building your skills incrementally. The more you practice and explore, the closer you’ll get to becoming an expert Flutter app developer.
Becoming an expert in Python, or any programming language, requires time, dedication, and continuous learning. Here are some steps you can follow to enhance your Python skills and work towards becoming an expert:
Learn the basics: Start by grasping the fundamentals of Python, such as variables, data types, loops, conditionals, and functions. Online tutorials, interactive coding platforms, or books can be helpful in this stage.
Practice regularly: Consistent practice is key to mastering any programming language. Work on coding exercises, solve problems, and participate in coding challenges on platforms like LeetCode, HackerRank, or CodeWars. This will help you improve your problem-solving skills and become comfortable with the language.
Build projects: Apply your knowledge by working on real-world projects. Building projects allows you to gain practical experience and encounter various challenges that will help you grow as a programmer. Start with small projects and gradually increase their complexity as you progress.
Read high-quality resources: Explore Python’s official documentation, as it provides comprehensive information about the language and its libraries. Additionally, there are numerous books, blogs, and online courses available that delve deeper into specific topics or advanced concepts.
Collaborate and participate in the community: Engage with the Python community by joining forums, attending local meetups, or participating in online communities like Stack Overflow or Reddit’s r/learnpython. Collaborating with others and discussing coding problems can broaden your understanding and expose you to different perspectives.
Explore Python libraries and frameworks: Python has an extensive ecosystem of libraries and frameworks that can significantly speed up development. Familiarize yourself with popular libraries such as NumPy, Pandas, Django, Flask, TensorFlow, and more. Understanding their usage and capabilities will enable you to leverage their power in your projects.
Contribute to open source projects: Open source projects provide an opportunity to collaborate with experienced developers and contribute to real-world software. By working on such projects, you can gain insights into advanced coding techniques, best practices, and teamwork.
Stay updated: Python is a dynamic language, and new versions, updates, and libraries are regularly released. Stay up to date with the latest advancements, best practices, and Python-related news by following reputable websites, blogs, podcasts, and social media channels.
Master debugging and testing: Debugging is an essential skill in programming. Learn how to effectively debug your code, use debuggers, and analyze error messages. Additionally, explore testing frameworks like pytest to write automated tests for your code, ensuring its correctness and stability.
Continuous learning: Programming is an ever-evolving field, and learning should be a continuous process. Explore advanced topics like object-oriented programming, design patterns, algorithms, data structures, web development, machine learning, or any specific areas that interest you.
Remember, becoming an expert in Python is a journey that requires patience and persistence. By following these steps and continually challenging yourself, you’ll gradually improve your skills and knowledge, ultimately achieving expertise in Python.
I am available for freelance work. Connect with me via and call in to my account.
Phone: +8801749911888 Email: mailforreazul@gmail.com