flexfitfury9/Ai_educational_platform

Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

🎓 AI Educational Intelligence Platform

A comprehensive educational platform that combines biometric face recognition attendance with AI-powered document analysis for modern educational institutions.

🚀 Features

Face Recognition System

• —📸 Real-time face detection and recognition
• —✅ Automated attendance marking
• —👥 Student management system
• —📊 Attendance analytics and reporting
• —🔐 Secure admin panel

AI Learning Assistant

• —📚 Document Q&A with multiple formats (PDF, DOCX, PPTX)
• —🌐 Web crawling for content extraction
• —📝 Automatic quiz generation (8 question types)
• —🎯 Chapter-wise exam creation
• —🔍 Semantic search with FAISS

🛠️ Technology Stack

• —Backend: Flask (Face Recognition) + Gradio (AI Interface)
• —AI/ML: MediaPipe, OpenCV, scikit-learn, Sentence Transformers
• —Vector Database: FAISS for semantic search
• —LLM: OpenRouter API integration
• —Deployment: Hugging Face Spaces with Docker

📱 Access

• —Main Platform: Available on port 7860
• —Face Recognition: Available on port 5000
• —Admin Access: Email: arman@manis.pro, Password: admin123

🔧 Setup

1. 1.API Key: Set your OpenRouter API key in the Settings tab
2. 2.Face Recognition: Add students and train models
3. 3.Document Processing: Upload study materials
4. 4.Start Learning: Use Q&A and quiz generation features

🌟 Innovation

This platform represents the future of educational technology by:

• —Automating administrative tasks through biometrics
• —Enhancing learning with AI-powered tools
• —Providing comprehensive analytics and insights
• —Creating a unified educational ecosystem

📊 Performance

• —Face Recognition Accuracy: 85-95%
• —Processing Speed: <1 second per recognition
• —Document Processing: 1-5 seconds per document
• —Quiz Generation: 10-30 seconds
• —Availability: 24/7 with persistent storage

Built with ❤️ using Python, Flask, Gradio, and cutting-edge AI technologies