The Karknowz Architecture
Core Components:
1. EEG Sensor Integration
- Brainwave data capture via EEG headset
- Real-time signal processing
- Noise filtering and calibration
2. AI Emotion Recognition
- Machine learning models for emotion detection
- Pattern recognition algorithms
- Mood classification (happy, sad, excited, calm, etc.)
3. Content Adaptation Engine
- Dynamic content selection based on detected emotions
- Personalized viewing recommendations
- Real-time content switching
4. User Interface
- Intuitive TV interface design
- Settings and calibration screens
- Feedback and learning mechanisms
Development Phases
Phase 1: Prototype Development (Weeks 1-4)
- Set up development environment in GitHub
- Create basic EEG data reading functionality
- Build simple emotion classification model
- Design initial UI mockups
Phase 2: AI Training (Weeks 5-8)
- Collect training data for emotion recognition
- Train and optimize machine learning models
- Implement real-time processing pipeline
- Test accuracy and performance
Phase 3: App Integration (Weeks 9-12)
- Develop Android TV application
- Integrate EEG hardware communication
- Implement content recommendation system
- Add user settings and preferences
Phase 4: Testing & Optimization (Weeks 13-16)
- Conduct user testing sessions
- Optimize performance and battery life
- Refine emotion detection accuracy
- Polish user interface
Key Technical Decisions
Platform Choice: Android TV
- Wide device compatibility
- Rich development ecosystem
- Google Play Store access
Programming Languages:
- Java/Kotlin - Native Android development
- Python - AI/ML model development
- JavaScript - Web components (if needed)
AI/ML Framework:
- TensorFlow - Machine learning model training
- OpenCV - Signal processing
- Numpy/Pandas - Data manipulation
Hardware Integration:
- Bluetooth LE - EEG headset communication
- USB - Alternative connection method
- Custom drivers - Hardware-specific protocols
Development Resources
- GitHub Repository - Version control and collaboration
- Google Drive - Document storage and team sharing
- Bolt AI - AI-assisted rapid prototyping
- Lovable - Full-stack development support
Questions about technical implementation? Contact: developer@karknowz.org