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[DMP 2024]: Implementation of Facial Recognition based attendance system for teachers in the Government schools #1
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Hi there, @convegenius-tech, The problem statement provided is very clear and lies in my areas of interest as I'm passionate about machine learning and keen on joining this project. Here's a bit about myself: My experience includes working on image processing, computer vision, and object detection in satellite imagery during my internship as an AI developer at DRDO DYSL.AI. Is there a preferred method for communicating with the mentors? I'm eager to contact you and explore how I can contribute. |
hi @convegenius-tech , @kavita-gsphk , @addyag93, could you please assign me this project because i am interested as well as experienced in mobile application development. Here's a bit about myself: I have developed different mobile application before including a recent Ram mandir app . |
Hi there, @convegenius-tech , The problem statement provided is very clear and lies in my areas of interest as I'm passionate about machine learning and keen on joining this project. Here's a bit about myself: My experience includes working on image processing, computer vision, object detection, conversion of image into grayscale images. |
Hi @convegenius-tech , this problem statement is clear to me and its tech stacks alligns with my skills. Here's a bit about myself: My experience includes VNN, image processing, object detection and computer vision. I have also build some models based on these. I would like to communicate with mentors and would like to know how can I contribute . |
Hello! @convegenius-tech My name is Yash Rastogi, and I'm currently pursuing my B.Tech in Computer Science at Meerut Institute of Engineering and Technology. I am deeply interested in contributing to the "Swift Attendance" project by ConveGenius AI. The opportunity to work on an innovative solution using open-source facial recognition technology for teacher attendance management in government schools aligns perfectly with my background and passion for leveraging technology for social impact.To select the most suitable open-source facial recognition model for the "Swift Attendance" project, focus on models like OpenCV (utilizing dlib or OpenCV's built-in algorithms), face_recognition, DeepFace, and OpenFace. Each model based on accuracy, resource efficiency, and offline capability to ensure it meets the project's needs for accurate, efficient, and deployable teacher attendance tracking in government schools. |
PR #2 please check for my facial recognition app @convegenius-tech |
Hi @convegenius-tech, @kavita-gsphk , @addyag93. About myself: |
Hey @convegenius-tech, I'm Sayan and interested in contributing to the project. My skills in computer vision, machine learning, and Python align perfectly with the project's requirements. I've been following the project description and believe my experience with Docker and performance optimization can be valuable in ensuring the solution scales efficiently, especially for offline functionality. I'm a strong proponent of open-source development and eager to contribute by developing demos that showcase the chosen facial recognition model's effectiveness. |
Hello @convegenius-tech,@kavita-gsphk , @addyag93 I'm Jugraj Singh, currently studying at Noida Institute of Engineering. I have experience in image processing, computer vision, and object detection from my AI developer internship at Codsoft. The project aligns with my interests in machine learning, and I'm eager to contribute and look forward to your response Thank you |
Hi @convegenius-tech , |
Hi there, @convegenius-tech , The problem statement provided is very clear and lies in my areas of interest as I'm passionate about machine learning and keen on joining this project. Here's a bit about myself: My experience includes working on image processing, computer vision, object detection, conversion of image into grayscale images. |
Hey Hi @convegenius-tech , It's my loving problem statement that I had already created. But in top of that, I implemented Firebase real time database update. I think here also for online we should use Firebase ML kit. Can i start working on it immediately ? |
Hello, I am Amisha, a third-year B.Tech student with a keen interest in frontend development and a growing passion for artificial intelligence and machine learning, particularly in the field of facial recognition. I am excited about the opportunity to contribute to the development of an automated attendance tracking system for government schools in India. |
Hello Mentor @convegenius-tech @kavita-gsphk @addyag93 |
Hii @convegenius-tech,@kavita-gsphk , @addyag93 My Self Himanshu Tiwari, I currently studying at NIT Jalandhar in CSE branch. |
Hello @convegenius-tech
I have used face-recognition library to identify the faces in the images and drawn rectangle around them. Model is pretty lightweight and gives reliable results. |
Hello @convegenius-tech, |
Hello @convegenius-tech I am Divyanshu pursing Btech in computer science engineering (second year). As the project is very related to my summer project because I done this type of project in my summer vacation, so I can much contribute to it. Regards |
@convegenius-tech @addyag93 @kavita-gsphk may I know why you don't do the interview for this precious project? |
@prakharsingh-74 The interview process has been concluded. If you did not receive an interview invitation, it means you were not selected for further steps. |
@kavita-gsphk can you tell me the area of improvement? |
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Ticket Contents
Description
Government schools in India often face challenges in accurately recording and monitoring teacher attendance, leading to inefficiencies in resource allocation and management. Traditional methods of attendance tracking, such as manual sign-in sheets, are prone to errors, time-consuming, and lack real-time monitoring capabilities. Therefore, there is a need for an
automated, reliable, and efficient offline solution to streamline the process of teacher attendance management in government schools.
The objective of this project is to evaluate and implement open-source facial recognition models to develop a demo application showcasing the reliability of the chosen model for teacher attendance tracking in Indian government schools. Students will research available open-source facial recognition models, assess their suitability for the intended use case, and select the most appropriate one. The selected model will then be integrated into a prototype demo application, providing a tangible demonstration of its accuracy and reliability in real-world scenarios.
Goals & Mid-Point Milestone
Goals
Setup/Installation
No response
Expected Outcome
Acceptance Criteria
Implementation Details
Mockups/Wireframes
No response
Product Name
Swift Attendance
Organisation Name
ConveGenius AI
Domain
Education
Tech Skills Needed
AWS, Computer Vision, Docker, Flask, Machine Learning, Node.js, Python
Mentor(s)
@kavita-gsphk @addyag93
Category
Machine Learning, Mobile, Research
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