https://github.com/shreyamalogi/ai_attendance
Attendence system using Artificial Intelligence - A collaboration project by team Mavericks
https://github.com/shreyamalogi/ai_attendance
ai attendance bootstrap css face-recognition flask hog-features html jinja2 opencv-python sqlalchemy sqlite
Last synced: about 1 month ago
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Attendence system using Artificial Intelligence - A collaboration project by team Mavericks
- Host: GitHub
- URL: https://github.com/shreyamalogi/ai_attendance
- Owner: shreyamalogi
- Created: 2022-01-11T09:28:37.000Z (over 3 years ago)
- Default Branch: main
- Last Pushed: 2022-01-11T09:53:14.000Z (over 3 years ago)
- Last Synced: 2025-03-30T05:03:45.763Z (2 months ago)
- Topics: ai, attendance, bootstrap, css, face-recognition, flask, hog-features, html, jinja2, opencv-python, sqlalchemy, sqlite
- Language: HTML
- Homepage:
- Size: 2.18 MB
- Stars: 16
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# AI_Attendence
Attendence system using Artificial Intelligence - A collaboration project by team Mavericks
# Problem Statement
To create a computer vision based Attendence system. The user should be able to fewed the system a live video, a picture stream, and the system should automatically register attendance for that specific audience in real time.
# How we tried to solve this problem?
OpenCV, dlib and face_recignition liraires were used to implement this which implements the HOG method for encoding the faces and traning the AI to detect the faces via a live video stream through a webcam or camera.
# Presentation
[click here](https://github.com/shreyamalogi/AI_Attendence/blob/main/THE%20Mavericks.pdf)
# Achievement
This project was selected among 100+ teams.