🎥 Pavani Face Recognition System

A professional face recognition system built with Streamlit and Roboflow AI to detect and track Pavani in video footage.

✨ Features

• 🎯 Real-time Face Detection - Powered by custom-trained Roboflow model
• 📊 Advanced Analytics - Detection statistics and confidence scores
• 🎨 Modern UI - Professional dark-themed interface
• 📹 Video Processing - Supports MP4, MOV, AVI, MKV formats
• ⬇️ Easy Download - Download processed videos instantly
• ☁️ Cloud Deployment - Ready for Streamlit Cloud

🚀 Quick Start

Local Installation

```bash

Clone repository

git clone cd face-recognition-pavani

Install dependencies

pip install -r requirements.txt

Run the app

streamlit run streamlit_app.py ```

Streamlit Cloud Deployment

1. Push code to GitHub
2. Go to share.streamlit.io
3. Connect your repository
4. Add secrets in the dashboard:
   • ROBOFLOW_API_KEY
   • ROBOFLOW_WORKSPACE
   • ROBOFLOW_PROJECT
   • ROBOFLOW_VERSION
   • PERSON_NAME
5. Deploy! 🚀

📋 Configuration

Edit .streamlit/secrets.toml for local development:

```toml ROBOFLOW_API_KEY = "your-api-key" ROBOFLOW_WORKSPACE = "your-workspace" ROBOFLOW_PROJECT = "your-project" ROBOFLOW_VERSION = "3" PERSON_NAME = "Pavani" ```

🎯 Usage

1. Upload a video file
2. Adjust confidence threshold (20-95%)
3. Click "Start Face Detection"
4. View results and download processed video

📊 Output Statistics

• Total frames processed
• Number of face detections
• Average confidence score
• Processing time
• Detection rate

🛠️ Tech Stack

• Frontend: Streamlit
• Computer Vision: OpenCV
• AI Model: Roboflow
• Processing: NumPy

📝 License

MIT License

👨‍💻 Author

Your Name

---

Built with ❤️ using Streamlit & Roboflow