This project implements a face recognition-based attendance system using AI and machine learning. The system leverages the college's camera to capture images of students, identifies their faces, and marks their attendance accordingly. Additionally, it sends a daily attendance report to the students via email.
- Face Recognition: Utilizes AI and ML algorithms to identify and recognize students' faces.
- Automated Attendance Marking: Automatically marks attendance for recognized students.
- Email Notifications: Sends daily attendance reports to students via email.
- User Interface: Provides a user-friendly interface for administrators to manage and monitor attendance records.
- Programming Language: Python
- Libraries: OpenCV, dlib, face_recognition, NumPy, pandas
- Machine Learning: Pre-trained face recognition models
- Email Integration: smtplib, email.mime
- Database: SQLite/MySQL (Choose one based on your implementation)
Copyright (c) 2024 Durgesh Sharma
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.