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
best skill on
Features
What I Do
Web Development
Professional web development services for businesses, including website design, development, and maintenance.
App Development
We’ll handle everything from to app development process until it is time to make your project live.
Business Stratagy
We’ll help you optimize your business processes to maximize profitability and eliminate unnecessary costs.
IoT development
IoT development involves building smart devices and systems to connect and automate everyday objects and processes.
IoT, ML & DL Based Research
Developing intelligent systems and devices that can communicate, analyze data, and learn from their surroundings.
Teaching
Teaching involves creating lesson plans, grading assignments, and providing feedback to students to promote their growth and development.
Visit my portfolio and keep your feedback
My Portfolio
7+ Years of Experience
My Resume
1998 - 2010
Education Quality
MSc in Computer Computer Science and Engineering
(2015-2016)(JU)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
(2011-2014)(JU)Higher education is tertiary education leading to award of an academic degree. Higher education, also called post-secondary education.
Higher Secondary School Certificate
(2009) Passed from Rajbari govt. College, Rajbari, Dhaka board.HIgher education or post-primary education covers two phases on the International Standard Classification of Education scale.
Secondary School Certificate
(2007) Al Hal Abdul Karim High School, Bhabadia-Rajbari, Dhaka board.Secondary education or post-primary education covers two phases on the International Standard Classification of Education scale.
2010 - 2022
Job Experience
CEO
Techideasolutions - January 2023 - Present (4 months)
Dhaka
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..
IOT full stack developer and Consultant
GREEN EO - October 2022 - Present (7 months)
Germany
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
Scientiko - January 2021 - Present (2 years 4 months)
Bangladesh
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
Agile Five - March 2020 - May 2020 (3 months)
Australia
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.
2001 - 2020
Trainer Experience
University Lecturer
Bangladesh University of Business and Technology (BUBT) February 2021 - Present (2 years 3 months)
Mirpur
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
Daffodil International University-DIU January 2017 - April 2018 (1 year 4 months)
Dhaka
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.
Lecturer
Dhaka College April 2018 - April 2020 (2 years 1 month)
DHAKA
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.
College of Finance and Management 15st February 2013 to 1st January 2017
Savar,Dhaka
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)
UCC, Saifurs, 3Doctors July 2011 - March 2016 (4 years 9 months)
Dhaka
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
A stacked ensemble machine learning approach for the prediction of diabetes
Design and Implementation of Cost Effective Automatic Water Pump Controlling System for Domestic Application using IoT
International Conference on Big Data, IoT and Machine Learning 2023 (BIM 2023) Type of Submission: Conference Paper Submiited Paper ID: 298
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.
Deep learning based smart door bell with authorized user identification and notification.
BUBT journal
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 manage 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 incorporates 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 internet 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 Raspberry Pi maintains the information of allowed individuals in the user-fed database. The modern security doorbell has no interior wiring and requires 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
Riding Safe with IoT: Developing a Smart Helmet for Accurate Accident Location Detection and Automated Notification through SMS and Social Media Platforms
International Conference on Next-Generation Computing, IoT and Machine Learning . Paper id: 95
The increasing number of bike accidents necessitates preventive measures. Existing systems lack immediate medical assistance, leading to avoidable loss of life. This paper proposes a smart helmet that acts as a quick response device, sending help messages with accident locations to hospitals, police, and user's relatives. Additionally, it utilizes popular social platforms like Facebook and messenger to post updates and send messages. The components used include Raspberry Pi Zero, GPS, GSM, Buzzer, and Cloud storage. The helmet activates upon detecting an accident, providing the user's location via GPS and sending an SMS, updating a Facebook post, and alerting nearby individuals with a buzzer. Hardware Setup: The smart helmet is equipped with various components, including Raspberry Pi Zero, GPS module, GSM module, and a buzzer. Accident Detection: The helmet incorporates sensors or algorithms to detect accidents. This could involve accelerometers, gyroscopes, or machine learning algorithms that analyze sudden changes in motion or impact. GPS Location Tracking: Upon detecting an accident, the GPS module determines the precise location coordinates of the accident. GSM Communication: The GSM module allows the smart helmet to communicate with external devices using cellular network connectivity. It is used to send SMS messages and establish an internet connection. SMS Alert: The system sends an SMS message containing the accident location details to preconfigured emergency contacts such as hospitals, police stations, and user's relatives. Social Media Integration: The smart helmet utilizes the internet connection to post an update on the user's Facebook account, informing their social network about the accident and location. Messenger Notifications: In addition to Facebook, the system sends instant messages through popular messaging platforms like Messenger to notify specific contacts about the accident. Buzzer Activation: A buzzer integrated into the helmet starts beeping upon accident detection. This helps attract the attention of nearby individuals who can provide immediate assistance. Cloud Storage: The system can optionally utilize cloud storage to store accident data, including GPS coordinates, timestamps, and other relevant information for later analysis or reference.
Ongoing Research
IoT-Enabled Smart Dustbin for Toxic Gas Emission Monitoring and Notification.
Proper waste management is essential for environmental sustainability and public health. This paper presents an IoT-based smart dustbin system that incorporates toxic gas sensors to detect and notify users about the emission of harmful gases. By utilizing IoT technology, real-time notifications are sent to alert individuals of potential health risks, enabling prompt action to mitigate the adverse effects of toxic gas emissions.
IoT and ML-Embedded sitting posture monitoring system.
This study presents an innovative approach to monitor sitting postures using the combination of Internet of Things (IoT) and Machine Learning (ML) techniques. The system incorporates sensors or wearable devices placed on chairs or clothing to collect data on users' sitting postures, including body position, alignment, and movement patterns. The IoT aspect enables seamless connectivity between sensors and a central processing unit or cloud-based platform for data transmission and analysis. ML algorithms are employed to analyze the collected data and identify posture patterns and their quality. Real-time feedback and personalized recommendations are provided to users based on the analysis, promoting healthier sitting habits and reducing the risk of musculoskeletal disorders. The system also allows for remote monitoring and generates valuable insights from the data, enabling research, ergonomic design, and workplace improvements. This IoT and ML-embedded sitting posture monitoring system offers a promising solution for enhancing posture awareness and promoting well-being in various settings, including healthcare, ergonomics, and remote working environments.
IoT and ML embedded Rural Area Portable Diagnostic and Medication System
The IoT and ML embedded Rural Area Portable Diagnostic and Medication System (IoT-ML RAPDMS) is a cutting-edge healthcare solution designed to address the challenges faced in rural areas with limited access to medical facilities. This system combines the power of Internet of Things (IoT) and Machine Learning (ML) technologies to provide advanced diagnostic and medication services remotely. The IoT-ML RAPDMS leverages IoT sensors and devices to collect vital health data such as temperature, heart rate, blood pressure, and oxygen levels from patients in rural areas. These data points are transmitted securely to a central system for real-time analysis and monitoring. Machine Learning algorithms are applied to these data sets to detect patterns, identify potential health issues, and provide accurate diagnoses. Furthermore, the IoT-ML RAPDMS is capable of dispensing medication to patients based on the ML analysis and prescription algorithms. This feature ensures that patients receive the right medication at the right dosage, minimizing the need for physical visits to healthcare facilities. By embedding IoT and ML technologies into the Rural Area Portable Diagnostic and Medication System, this solution revolutionizes healthcare access in rural areas. It enables remote monitoring, early detection of health conditions, and timely medication delivery, ultimately improving health outcomes and quality of life for individuals in underserved communities.
Design and development of IoT based Automatic Pet Monitoring and feedig system
The IoT-based Automatic Pet Monitoring and Feeding System is a smart solution that allows pet owners to remotely monitor and feed their pets using connected devices. The system comprises a smart feeder, sensors for monitoring pet activity, an IoT gateway, and communication modules. It also includes a mobile application for remote control and a cloud platform for data storage and analysis. The system enables pet owners to schedule feeding times, control portion sizes, and receive notifications. The development process involves designing the hardware and software components, prototyping, connectivity implementation, application development, cloud integration, testing, and refinement. Security and privacy considerations are incorporated through encryption, authentication, and privacy policies. This system provides convenience and peace of mind to pet owners by allowing them to care for their pets remotely.
Deep learning based smart door bell with authorized user identification and notification.
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 manage 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 incorporates 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 internet 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 Raspberry Pi maintains the information of allowed individuals in the user-fed database. The modern security doorbell has no interior wiring and requires 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
IoT and ML embedded automatic vehicles indicator and smart lock
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.
An Efficient IoT Enabled Smart Ambulance with provision of Emergency medication
The IoT-enabled smart ambulance is a highly efficient system designed for monitoring vital signs such as oxygen levels, ECG (electrocardiogram), and temperature. It incorporates IoT technology to enable real-time tracking and analysis of these parameters. Additionally, the smart ambulance is equipped with a provision for emergency medication to ensure timely administration of critical drugs during transit. This integration of IoT monitoring and emergency medication provision improves the quality of care during emergencies, allowing for prompt intervention and treatment.
The IoT-based smart gatepass and attendance system
"IoT-based Smart Gatepass and Attendance System" focuses on a technologically advanced solution that leverages IoT capabilities to streamline and automate the gatepass and attendance process. This system utilizes connected devices and sensors to facilitate efficient access control and accurate attendance tracking. Individuals are issued electronic gatepasses or access cards containing unique identifiers that can be scanned or detected by IoT-enabled devices at entry points. The system verifies the identity and grants or denies access based on predefined permissions and authentication protocols. Simultaneously, the attendance system tracks and records entry and exit times using IoT sensors, eliminating the need for manual attendance registers. The system offers increased accuracy, improved security, reduced administrative overhead, and enhanced efficiency, providing organizations with a seamless and reliable solution for access control and attendance management.
A Novel ML-Supported IoT Device for Womens Self-Security System to reduce sexual harassment.
This garment will identify sexually harassing touches by detecting variations in human touch. The victims of harassment and the incident will automatically inform the local administration and relatives of the victim! This dress can be controlled with the help of an app.
IoT based manhole system that monitoring temperature, gases and water level.
The IoT-based manhole monitoring system proposed in this project aims to enhance the safety and efficiency of managing manholes by continuously monitoring temperature, gases, and water levels. By leveraging the capabilities of IoT devices and sensors, this system provides real-time data collection, analysis, and alert generation to mitigate potential risks and enable proactive maintenance.
An Innovative ML-Enabled IoT Device for Soil Nutrients Monitoring and Crop Recommendation
A novel IoT device integrated with machine learning capabilities for efficient soil nutrient monitoring and crop suggestion. Agriculture heavily relies on the appropriate management of soil nutrients to achieve optimal crop growth and yield. However, traditional soil testing methods are time-consuming, labor-intensive, and often lack real-time data, leading to suboptimal decision-making. SmartSense addresses these challenges by leveraging IoT technology to collect real-time soil data and machine learning algorithms to analyze the data and suggest suitable crops based on nutrient levels. This system aims to improve agricultural productivity, optimize resource utilization, and foster sustainable farming practices.
A novel IoT-Enabled Dengue Mosquito Egg Detection and Elimination System
This paper presents an IoT-based system for the detection and elimination of dengue mosquito eggs. Dengue fever, a mosquito-borne disease, poses a significant public health challenge in many regions. Traditional methods of controlling dengue mosquitoes focus primarily on adult mosquito control, neglecting the crucial aspect of eliminating mosquito breeding sites. The proposed system utilizes IoT technology to detect and destroy dengue mosquito eggs, thereby disrupting the mosquito life cycle and reducing the spread of the disease. Through the integration of smart sensors, data analysis, and targeted intervention, this system aims to enhance dengue prevention efforts and contribute to public health improvement.
IoT-Enabled Smart Dustbin for Toxic Gas Emission Monitoring and Notification.
Proper waste management is essential for environmental sustainability and public health. This paper presents an IoT-based smart dustbin system that incorporates toxic gas sensors to detect and notify users about the emission of harmful gases. By utilizing IoT technology, real-time notifications are sent to alert individuals of potential health risks, enabling prompt action to mitigate the adverse effects of toxic gas emissions.
IoT and ML-Embedded sitting posture monitoring system.
This study presents an innovative approach to monitor sitting postures using the combination of Internet of Things (IoT) and Machine Learning (ML) techniques. The system incorporates sensors or wearable devices placed on chairs or clothing to collect data on users' sitting postures, including body position, alignment, and movement patterns. The IoT aspect enables seamless connectivity between sensors and a central processing unit or cloud-based platform for data transmission and analysis. ML algorithms are employed to analyze the collected data and identify posture patterns and their quality. Real-time feedback and personalized recommendations are provided to users based on the analysis, promoting healthier sitting habits and reducing the risk of musculoskeletal disorders. The system also allows for remote monitoring and generates valuable insights from the data, enabling research, ergonomic design, and workplace improvements. This IoT and ML-embedded sitting posture monitoring system offers a promising solution for enhancing posture awareness and promoting well-being in various settings, including healthcare, ergonomics, and remote working environments.
IoT and ML embedded Rural Area Portable Diagnostic and Medication System
The IoT and ML embedded Rural Area Portable Diagnostic and Medication System (IoT-ML RAPDMS) is a cutting-edge healthcare solution designed to address the challenges faced in rural areas with limited access to medical facilities. This system combines the power of Internet of Things (IoT) and Machine Learning (ML) technologies to provide advanced diagnostic and medication services remotely. The IoT-ML RAPDMS leverages IoT sensors and devices to collect vital health data such as temperature, heart rate, blood pressure, and oxygen levels from patients in rural areas. These data points are transmitted securely to a central system for real-time analysis and monitoring. Machine Learning algorithms are applied to these data sets to detect patterns, identify potential health issues, and provide accurate diagnoses. Furthermore, the IoT-ML RAPDMS is capable of dispensing medication to patients based on the ML analysis and prescription algorithms. This feature ensures that patients receive the right medication at the right dosage, minimizing the need for physical visits to healthcare facilities. By embedding IoT and ML technologies into the Rural Area Portable Diagnostic and Medication System, this solution revolutionizes healthcare access in rural areas. It enables remote monitoring, early detection of health conditions, and timely medication delivery, ultimately improving health outcomes and quality of life for individuals in underserved communities.
Design and development of IoT based Automatic Pet Monitoring and feedig system
The IoT-based Automatic Pet Monitoring and Feeding System is a smart solution that allows pet owners to remotely monitor and feed their pets using connected devices. The system comprises a smart feeder, sensors for monitoring pet activity, an IoT gateway, and communication modules. It also includes a mobile application for remote control and a cloud platform for data storage and analysis. The system enables pet owners to schedule feeding times, control portion sizes, and receive notifications. The development process involves designing the hardware and software components, prototyping, connectivity implementation, application development, cloud integration, testing, and refinement. Security and privacy considerations are incorporated through encryption, authentication, and privacy policies. This system provides convenience and peace of mind to pet owners by allowing them to care for their pets remotely.
Deep learning based smart door bell with authorized user identification and notification
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 manage 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 incorporates 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 internet 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 Raspberry Pi maintains the information of allowed individuals in the user-fed database. The modern security doorbell has no interior wiring and requires 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
IoT and ML embedded automatic vehicles indicator and smart lock
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.
An Efficient IoT Enabled Smart Ambulance with provision of Emergency medication
The IoT-enabled smart ambulance is a highly efficient system designed for monitoring vital signs such as oxygen levels, ECG (electrocardiogram), and temperature. It incorporates IoT technology to enable real-time tracking and analysis of these parameters. Additionally, the smart ambulance is equipped with a provision for emergency medication to ensure timely administration of critical drugs during transit. This integration of IoT monitoring and emergency medication provision improves the quality of care during emergencies, allowing for prompt intervention and treatment.
The IoT-based smart gatepass and attendance system
"IoT-based Smart Gatepass and Attendance System" focuses on a technologically advanced solution that leverages IoT capabilities to streamline and automate the gatepass and attendance process. This system utilizes connected devices and sensors to facilitate efficient access control and accurate attendance tracking. Individuals are issued electronic gatepasses or access cards containing unique identifiers that can be scanned or detected by IoT-enabled devices at entry points. The system verifies the identity and grants or denies access based on predefined permissions and authentication protocols. Simultaneously, the attendance system tracks and records entry and exit times using IoT sensors, eliminating the need for manual attendance registers. The system offers increased accuracy, improved security, reduced administrative overhead, and enhanced efficiency, providing organizations with a seamless and reliable solution for access control and attendance management.
Award
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
Innovation Title: IoT Based VLS car starting device.
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
National Innovation Award from Digital Bangladesh Mela 2023 organize by ICT Ministry of Bangladesh.
Rewarded as a Innovator
Innovation Title: Cost Effective Automatic Water Pump Controlling System for Domestic Application using IoT.
National Innovation Award from Digital Bangladesh Mela 2023 organize by ICT Ministry of Bangladesh.
Rewarded as a Innovator
Innovation Title: Sexual herrasment detection with smat dress.
National Innovation Award from Digital Bangladesh Mela 2023 organize by ICT Ministry of Bangladesh.
Rewarded as a Innovator
Innovation Title: Automatic pet feeder and monitoring system.
National Innovation Award from Digital Bangladesh Mela 2023 organize by ICT Ministry of Bangladesh.
Rewarded as a Innovator
Innovation Title: IoT Based AC dimmer switch with remote controlling
Best tech facilities provide to contestant award ICPC Asia Dhaka Regional Contest 2021
Rewarded as a best tech service award
Project Title: ICPC Asia Dhaka Regional Contest Schedule App
Best entertain provide to contestant award ICPC Asia Dhaka Regional Contest 2021
Rewarded as a Innovator
work title: Entertain provide member to the contestant of ASIA Dhaka regional contest 2021.
Web & App
ICPC Asia Dhaka Regional Contest Schedule App
Playlist
2 Videos
Previous
Next
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.
Online-based Learning Management System (LMS).
Playlist
2 Videos
Previous
Next
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.
What mentors & Clients Say
Testimonial
Popular Mentors and Clients
Awesome Mentors and Clients
Dr. Jugal Krishna Das
Jahangirnagar University
Professor, Computer Science and Engineering Dept.Computer Science and Engineering Department(JU)
1994 to ContinueI 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.
Dr. Mohammad Zahidur Rahman
Jahangirnagar University
Professor, Computer Science and Engineering Dept.Computer Science and Engineering Dept(JU)
1990 to continueI 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.
Dr. Muhammad Fayyaz Khan (FK)
Bangladesh University of Science and Technology
Professor & Vice Chancellor, Bangladesh University of Science and TechnologyBangladesh University of Science and Technology
July 01, 2020 to continueI 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.
Pricing
My Pricing
Visit my blog and keep your feedback
My Blog
Contact
Contact With Me
Md. Reazul Islam
I am available for freelance work. Connect with me via and call in to my account.
Phone: +8801749911888 Email: mailforreazul@gmail.com