Algeria-Vision is an innovative AI-driven application that simplifies the detection and recognition of public figures from television streams. By leveraging cutting-edge deep learning technologies like MTCNN and YOLOv5, the system detects faces, identifies them by comparing with a pre-built database, and generates detailed reports on their appearances. This project serves as a powerful tool for tracking and analyzing multimedia content in real-time, helping organizations monitor public figure activities efficiently.
- 📡 Real-Time Face Detection: Quickly identify faces using MTCNN and YOLOv5.
- 🧑💻 Comprehensive Database: Stores metadata (name, profession, aliases) for each public figure.
- 📊 Detailed Reporting: Generates appearance logs and detailed reports.
- 🔍 Search & Update Functionalities: Easily add, search, or update public figure data.
- Frontend: HTML, CSS, JavaScript
- Backend: Python, Firebase
- AI Models: MTCNN, YOLOv5
- Libraries: OpenCV, Face Recognition
- Amine Nasri
- Sara Beldi
This project is private intellectual property and must not be reproduced, shared, or used without explicit permission from the owners. Any unauthorized use, distribution, or reproduction is strictly prohibited.