Productifi is a cutting-edge web application that revolutionizes personal productivity through advanced AI-driven focus tracking. Using computer vision, audio analysis, and machine learning, it helps users maintain deep focus during work sessions while providing intelligent coaching and distraction prevention.

• Real-time Attention Tracking: Advanced computer vision monitors facial expressions, head pose, and eye gaze to assess focus levels
• Emotion Recognition: Detects emotional states to provide contextual productivity insights
• Distraction Prevention: Alerts users when conversations or looking away are detected
• Gemini AI Coaching: Live personalized nudges powered by Google's Gemini Vision API
• Audio Monitoring: Web Audio API analyzes speech patterns for sustained conversation detection

• Flexible Session Types: Deep Study, General Work, Creative Flow, Coding Sprint, Reading/Review, Custom
• Focus Rules: Strict mode, Balanced mode, Monitor only
• Sensitivity Controls: Adjustable detection thresholds for different work environments
• Theme Customization: Light/Dark themes with custom color schemes
• Notification Preferences: Browser notifications, sound alerts, or both

• Live Session Metrics: Real-time attention scores, distraction counters, and progress tracking
• Comprehensive Analytics: Session reports with focus consistency, distraction resistance, and productivity metrics
• Streak Tracking: Build and maintain productivity streaks with goal setting
• Activity Feed: Detailed timeline of session events and coaching messages

• Frontend: React 19, TypeScript, TailwindCSS, Framer Motion
• AI/ML: TensorFlow.js, MediaPipe, Google Generative AI (Gemini)
• Computer Vision: OpenCV, Face Detection, Emotion Recognition
• Audio Processing: Web Audio API, Real-time Frequency Analysis
• Backend: Python Flask, SocketIO for real-time communication
• State Management: Zustand for efficient React state handling

• Node.js 18+ and npm
• Python 3.8+ with pip
• Webcam and microphone access
• Modern web browser with WebRTC support

cd productifi/frontend
npm install
npm run dev

Open http://localhost:5173 in your browser

# Create virtual environment
python3 -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate

# Install dependencies
pip install -r requirements.txt

# Run backend server
python app.py

1. Customize Your Session: Choose session type, duration, and focus preferences
2. Grant Permissions: Allow camera and microphone access for optimal tracking
3. Start Focusing: Begin your session with real-time monitoring and coaching
4. Review Progress: Analyze your session data and build productivity streaks

Create a .env file in the frontend directory:

VITE_GEMINI_API_KEY=your_gemini_api_key_here

Place the following files in the repository root:

• haarcascade_frontalface_default.xml - OpenCV face cascade
• fer.json and fer.h5 - Emotion recognition model (optional)

• Intelligent Coaching: Unlike basic timers, Productifi provides AI-powered insights and personalized nudges
• Multi-Modal Analysis: Combines visual, audio, and behavioral data for comprehensive focus assessment
• Privacy-First: All processing happens locally in the browser; no data sent to external servers
• Startup-Quality UX: Polished interface with smooth animations and professional design
• Extensible Architecture: Modular design allows for easy addition of new AI features

We welcome contributions! Please see our contributing guidelines and code of conduct.

This project is licensed under the MIT License - see the LICENSE file for details.

• Google MediaPipe for computer vision capabilities
• TensorFlow.js for browser-based ML
• Google's Gemini AI for intelligent coaching
• The open-source community for amazing tools and libraries

Productifi - Transform your productivity with AI-powered focus tracking. Stay focused, achieve more. 🚀