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TouchGrass - AI-Powered Burnout Prevention Platform

🏆 TwelveLabs Challenge Submission - Advanced video analysis for developer wellbeing

TouchGrass is a production-ready burnout prevention platform that leverages AI-powered video analysis, multi-source data integration, and real-time monitoring to proactively protect developer mental health. Built with enterprise-grade architecture and scalable design patterns.

🌟 Why TouchGrass Stands Out

Production-Ready Architecture

  • Type-safe full-stack development with end-to-end TypeScript
  • Real-time reactive backend powered by Convex with automatic scaling
  • Comprehensive data schema supporting multiple integration sources
  • Robust error handling and rate limiting for external APIs
  • Modular codebase with clear separation of concerns

Advanced TwelveLabs Integration

  • State-of-the-art video analysis using Pegasus-1 model for mood detection
  • Intelligent video chunking (10-second segments) for optimal processing
  • Multi-modal analysis combining facial expressions, body language, and presence detection
  • Confidence scoring and fallback mechanisms for reliable mood assessment
  • Efficient blob storage with Convex for seamless video upload pipeline

Scalable Data Architecture

  • Multi-source data fusion: GitHub commits, Linear projects, Wakatime coding activity, webcam analysis
  • Advanced burnout algorithm with weighted factor scoring and trend analysis
  • Real-time session tracking with break management and productivity metrics
  • Comprehensive user settings with configurable thresholds and preferences

🚀 Quick Start

# Start both frontend and backend in development mode
npm run dev

# Frontend only (React + Vite)
npm run dev:frontend

# Backend only (Convex)
npm run dev:backend

# Production build with full type checking
npm run build

# Comprehensive linting and validation
npm run lint

🏗️ Architecture Overview

Frontend (React + TypeScript + Vite)

src/
├── components/          # Reusable UI components with shadcn/ui
├── hooks/              # Custom React hooks for data fetching
├── lib/                # Utility functions and shared logic
├── utils/              # Helper functions and constants
├── App.tsx             # Main application with authentication
├── Dashboard.tsx       # Primary user interface
└── main.tsx           # Application entry point

Backend (Convex + TypeScript)

convex/
├── schema.ts           # Comprehensive database schema (8 tables)
├── burnout.ts          # Core burnout risk calculation engine
├── webcam.ts           # TwelveLabs video analysis integration
├── github.ts           # GitHub commit pattern analysis
├── linear.ts           # Linear project management integration
├── wakatime.ts         # Coding activity tracking
├── breaks.ts           # Break timer and session management
└── auth.config.ts      # Authentication configuration

Data Flow Architecture

  1. Multi-Source Data Collection

    • 📹 TwelveLabs Pegasus-1: Real-time mood analysis from webcam
    • 🔄 GitHub API: Commit patterns and coding velocity
    • 📊 Linear API: Story points and project management data
    • ⏱️ Wakatime API: IDE usage and coding time tracking
  2. AI-Powered Risk Assessment

    • Advanced burnout algorithm with 6 weighted factors
    • Trend analysis across 7-day windows
    • Confidence scoring and data availability checks
    • Real-time threshold monitoring with notifications
  3. Real-Time User Experience

    • Live dashboard with risk visualization
    • Proactive break reminders and interventions
    • Configurable settings and preferences
    • Session tracking with automatic detection

🎥 TwelveLabs Integration Deep Dive

Advanced Mood Detection Features

  • Multi-modal analysis: Facial expressions, body language, environmental cues
  • Temporal consistency: Smoothing algorithms to prevent mood flickering
  • Confidence thresholding: Fallback to previous states for low-confidence predictions
  • Privacy-first design: Local processing with encrypted blob storage
  • Batch processing: Efficient video queuing for sustained analysis

Production Optimizations

  • Rate limiting: Intelligent API call management
  • Error recovery: Graceful degradation when TwelveLabs is unavailable
  • Data validation: Comprehensive input sanitization and type checking
  • Monitoring: Built-in analytics for API usage and performance

🔧 Environment Setup & Configuration

Required API Keys

# TwelveLabs (Primary Integration)
TWELVELABS_API_KEY=your_twelvelabs_key

# Optional: GitHub (Enhanced Rate Limits)
GITHUB_TOKEN=your_github_token  # 5,000 req/hr vs 60 req/hr

# Optional: Linear (Project Management)
LINEAR_API_KEY=your_linear_key

# Optional: Wakatime (Coding Activity)
WAKATIME_API_KEY=your_wakatime_key

Production Deployment

  • Convex Cloud: Automatic scaling with global edge distribution
  • Type-safe deployments: Schema validation and migration support
  • Real-time synchronization: WebSocket connections with offline support
  • Security: Auth0 integration with role-based access control

🧪 Code Quality & Testing

Type Safety

  • 100% TypeScript coverage across frontend and backend
  • Convex schema validation with automatic type generation
  • API contract enforcement with runtime validation
  • End-to-end type safety from database to UI components

Development Workflow

# Comprehensive validation pipeline
npm run lint    # TypeScript + ESLint + Convex schema validation
npm run build   # Production build with optimization
npm run dev     # Hot reload with type checking

Scalability Features

  • Modular architecture: Easy to add new data sources
  • Configurable algorithms: Adjustable burnout calculation weights
  • Multi-tenant ready: User isolation and data privacy
  • Performance monitoring: Built-in metrics and logging

🎯 Innovation Highlights

Unique Value Propositions

  1. Proactive Prevention: Catches burnout early before symptoms manifest
  2. Multi-Source Intelligence: Combines productivity, mood, and behavioral data
  3. AI-Powered Insights: TwelveLabs video analysis for unprecedented accuracy
  4. Developer-Centric: Built by developers, for developers
  5. Privacy-Conscious: Local processing with encrypted data storage

Future Scalability

  • Federated Learning: Train models across users while preserving privacy
  • Advanced Integrations: Sleep tracking, calendar analysis, Slack sentiment
  • Enterprise Features: Team dashboards, manager insights, organization analytics
  • ML Pipeline: Custom burnout prediction models with continuous learning

Built with: Convex • React • TypeScript • TwelveLabs Pegasus-1 • Vite • Tailwind • Auth0

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