FlowState Features & Implementation Status

Core Systems

1. Neural Entrainment System

• Status: Completed

• Priority: P1

• Implementation Files:

  • Core: backend/core/algorithms/flow/visual_stimulation.py

  • Hardware Interface: backend/core/inputs/hardware_interface.py Features:

  • Basic Neural Entrainment

  • Binaural beat generation

  • Visual frequency matching

  • Phase alignment

  • Strobe glasses hardware interface

  • Bilateral stimulation

  • Cross-hemisphere synchronization

  • Advanced strobing patterns

  • Independent eye control

Planned Enhancements:

• Machine learning-based pattern optimization

• Real-time adaptation to neural feedback

• Multi-modal stimulation coordination

• Personalized entrainment profiles

2. Flow State Detection & Stability

• Status: In Progress

• Priority: P2

• Impact Score: 9.3/10

• Implementation Files:

  • Core: backend/core/algorithms/flow/stability_system.py

  • State Detection: backend/core/algorithms/realtime/state_detection.py Features:

  • Real-time flow state monitoring

  • Dynamic stability maintenance

  • Progressive challenge scaling

  • Environmental optimization

  • Real-time state detection

  • Neural coherence calculation

  • Transition detection

Planned Enhancements:

• Advanced flow state prediction

• Multi-modal flow indicators

• Early exit detection

• Flow depth analysis

3. Attention Density Maximizer

• Status: Completed

• Priority: P5

• Impact Score: 7.0/10

• Implementation Files:

  • Core: backend/core/algorithms/flow/attention_maximizer.py

  • YouTube Integration: backend/core/algorithms/flow/youtube_focus.py Features:

  • Real-time attention scoring

  • Distraction detection

  • Dynamic frequency modulation

  • Eye tracking integration

  • EEG data integration

4. Recovery and Integration System

• Status: Completed

• Priority: P3

• Impact Score: 7.9/10

• Implementation Files:

  • Core: backend/core/algorithms/flow/recovery_system.py

  • Health Tracking: backend/core/inputs/health/tracking.py Features:

  • Post-flow cool-down protocols

  • Neural plasticity enhancement

  • Recovery metric tracking

  • Adaptive rest scheduling

Planned Enhancements:

• Personalized recovery protocols

• Sleep optimization integration

• Nutrition recommendations

• Recovery prediction

5. Chaos System

• Status: Completed

• Implementation Files:

  • Core: backend/core/algorithms/flow/chaos_system.py Features:

  • Global chaos control

  • Parameter-specific chaos injection

  • Multiple chaos generators

  • Pattern learning

6. EEG Foundation

• Status: In Progress

• Priority: P1 (Critical Path)

• Impact Score: 10/10 Features:

  • Real-time signal processing

  • Band power calculation

  • Robust artifact rejection

  • Cross-channel coherence analysis

  • Alpha/Theta optimization

  • State classification

7. Research System

• Status: Completed Features:

  • Automated research aggregation

  • Activity-recovery correlation

  • Pattern effectiveness tracking

  • Knowledge base expansion

Planned Enhancements:

• Research paper summarization

• Automated literature review

• Research trend analysis

• Impact factor tracking

8. Biometric Integration

Whoop Client (biometric/whoop_client.py)

• Status: Completed

• Priority: P1 (Critical Path)

• Impact Score: 10/10 Features:

  • Heart rate monitoring

  • HRV tracking

  • Sleep analysis

  • Recovery metrics

  • Strain calculation

Tobii Tracker (biometric/tobii_tracker.py)

• Status: Completed

• Priority: P1 (Critical Path)

• Impact Score: 10/10 Features:

  • Gaze tracking

  • Attention metrics

  • Cognitive load estimation

  • Strobe synchronization

  • Saccade prediction

Integration Features

1. Hardware Integration

• Status: Completed

• Implementation Files:

  • Whoop Integration: backend/core/inputs/health/whoop_client.py

  • Tobii Integration: backend/core/inputs/health/tobii_client.py

  • Hardware Interface: backend/core/inputs/hardware_interface.py Features:

  • Whoop API integration

  • Tobii eye tracker integration

  • EEG device integration

  • Strobe glasses control

Planned Enhancements:

• Additional EEG device support

• Heart rate variability monitors

• Environmental sensors

• Additional biometric devices

2. Data Processing

• Status: In Progress

• Implementation Files:

  • Core Processing: backend/core/algorithms/realtime/processor.py

  • State Detection: backend/core/algorithms/realtime/state_detection.py Features:

  • Real-time EEG analysis

  • Biometric data processing

  • Activity pattern recognition

  • Performance metrics calculation

Planned Enhancements:

• Real-time machine learning

• Advanced pattern recognition

• Predictive analytics

• Anomaly detection

3. User Interface

• Status: Completed

• Implementation Files: Frontend Components:

  • Main Monitor: frontend/src/components/FlowStateMonitor.js

  • Biometric Display: frontend/src/components/BiometricDisplay.js

  • Brainwave Visualization:

    • frontend/src/components/BrainwaveBanner.tsx

    • frontend/src/components/WaveChart.tsx

    • frontend/src/components/Wavelet.tsx Features:

  • Real-time monitoring dashboard

  • Session configuration interface

  • Performance visualization

  • Settings management

Planned Enhancements:

• Mobile application

• Voice control

• AR/VR integration

• Gesture control

Technical Features

1. Performance Optimization

• Status: Completed

• Implementation Files:

  • Core Helpers: backend/core/helpers.py

  • Settings: backend/core/settings.py Features:

  • Sub-millisecond synchronization

  • Adaptive parameter optimization

  • Real-time data processing

  • Efficient resource management

Planned Enhancements:

• GPU acceleration

• Distributed processing

• Edge computing support

• Battery optimization

2. Data Management

• Status: Completed

• Implementation Files:

  • Base Models: backend/core/models/base.py

  • Health Metrics: backend/core/models/health_metrics.py

  • Database Schema: backend/core/models/schema.sql Features:

  • Session data storage

  • Performance history tracking

  • Configuration management

  • Research database

3. Security

• Status: Completed

• Implementation Files:

  • API Security: backend/api/security.py

  • Settings: backend/core/settings.py Features:

  • Secure data storage

  • API key management

  • User data protection

  • Access control

Documentation

• Status: Completed

• Implementation Files:

  • API Docs: docs/api/

  • Development Docs: docs/development/

  • User Guide: docs/user/ Features:

  • API documentation

  • Architecture documentation

  • User guides

  • Development workflow

Planned Enhancements:

• Interactive tutorials

• Video guides

• API examples

• Best practices

Integration Status

Data Flow

graph TD
    A[Whoop Client] --> D[Flow State Detector]
    B[Tobii Tracker] --> D
    C[Audio Engine] --> D
    D --> C

Upcoming Features

1. EEG Integration

2. Advanced ML Pipeline

3. Environmental Monitoring

Version History

• v0.1.0: Initial biometric integration

• v0.2.0: Added audio engine

• v0.3.0: Implemented basic flow detection