TrackML

TrackML is a comprehensive tool for tracking and managing machine learning models. It helps users keep track of models they've explored, studied, or plan to use in the future, with powerful features powered by Gemini AI and HuggingFace integration.

Features

• Track ML model details including name, developer, type, and parameters
• Organize models with tags and status updates
• Search and filter models by various criteria
• Dashboard view with model statistics and insights
• Auto-fill model information from HuggingFace
• Model insights and comparative analysis using Gemini AI
• Responsive design for all devices
• Secure authentication system
• Cross-Origin Resource Sharing (CORS) enabled
• AWS EC2 deployment ready

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Architecture

Frontend Architecture

• Framework: React 18+ with Vite for fast development and building
• Language: TypeScript for type safety
• Styling: TailwindCSS for utility-first styling
• Routing: React Router v6 for client-side navigation
• State Management: React Context API
• API Integration: Axios for HTTP requests
• Build Tool: Vite

Backend Architecture

• Framework: Flask for lightweight and flexible REST API
• Database: SQLAlchemy ORM with SQLite/PostgreSQL
• Authentication: JWT-based authentication
• API Integration:
  • Google Gemini API for AI-powered insights
  • HuggingFace API for model information
• CORS: Flask-CORS for secure cross-origin requests
• Environment: Python 3.8+

Infrastructure

• Hosting: AWS EC2
• Domain & SSL: AWS Route 53 & ACM
• Database: AWS RDS (Optional)
• Static Files: AWS S3 (Optional)

Nginx Reverse Proxy & Caching

Reverse Proxy Configuration

• Load Balancing: Round-robin distribution across backend servers
• SSL Termination: HTTPS handling at proxy level
• Header Management:
  • X-Real-IP forwarding
  • X-Forwarded-For handling
  • Custom header modifications
• Request Routing:
  • Path-based routing
  • Subdomain routing
  • WebSocket support

Caching Implementation

• Caching Layers:

  proxy_cache_path /path/to/cache levels=1:2 keys_zone=my_cache:10m max_size=10g inactive=60m use_temp_path=off;

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  • Multi-level cache hierarchy
  • Memory-based caching (10MB zone)
  • Disk-based caching (10GB max)
  • 60-minute cache retention

• Cache Configuration:

  • Static asset caching
  • API response caching
  • Cache bypass rules
  • Cache purge mechanisms

• Cache Control:

  location /api/v1/ {
      proxy_cache my_cache;
      proxy_cache_use_stale error timeout http_500 http_502 http_503 http_504;
      proxy_cache_valid 200 60m;
      proxy_cache_valid 404 1m;
      proxy_cache_key $scheme$request_method$host$request_uri;
  }

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  • Status-based cache rules
  • Method-based caching
  • Custom cache keys
  • Stale cache handling

Performance Optimizations

• Compression:

  gzip on;
  gzip_types text/plain text/css application/json application/javascript text/xml;
  gzip_min_length 1000;
  gzip_comp_level 6;

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  • GZIP compression
  • Brotli compression support
  • Compression thresholds
  • Content type filtering

• Buffer Settings:

  client_body_buffer_size 10K;
  client_header_buffer_size 1k;
  client_max_body_size 8m;
  large_client_header_buffers 2 1k;

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  • Request buffering
  • Response buffering
  • Body size limits
  • Header size optimization

• Connection Handling:

  keepalive_timeout 65;
  keepalive_requests 100;

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  • Keep-alive settings
  • Connection pooling
  • Worker processes
  • Event handling

Security Measures

• Rate Limiting:

  limit_req_zone $binary_remote_addr zone=one:10m rate=1r/s;

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  • IP-based limiting
  • Burst handling
  • Zone configuration
  • Custom rate rules

• Security Headers:

  add_header X-Frame-Options "SAMEORIGIN";
  add_header X-XSS-Protection "1; mode=block";
  add_header X-Content-Type-Options "nosniff";

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  • XSS protection
  • CSRF prevention
  • Content sniffing prevention
  • Frame protection

Monitoring & Logging

• Access Logging:

  log_format custom '$remote_addr - $remote_user [$time_local] '
                    '"$request" $status $body_bytes_sent '
                    '"$http_referer" "$http_user_agent" '
                    '$request_time';

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  • Custom log formats
  • Error logging
  • Performance logging
  • Debug logging

• Metrics Collection:

  • Response time tracking
  • Cache hit/miss ratios
  • Error rate monitoring
  • Bandwidth usage

High Availability Setup

• Failover Configuration:

  • Backup servers
  • Health checks
  • Automatic failover
  • Load balancing

• SSL Configuration:

  ssl_protocols TLSv1.2 TLSv1.3;
  ssl_ciphers ECDHE-ECDSA-AES128-GCM-SHA256:ECDHE-RSA-AES128-GCM-SHA256;
  ssl_prefer_server_ciphers off;

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  • Modern SSL protocols
  • Strong cipher suites
  • OCSP stapling
  • Session handling

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Project Structure

TrackML/
├── backend/
│   ├── models/        # Database models
│   │   └── models.py  # SQLAlchemy models
│   ├── routes/        # API endpoints
│   │   ├── auth_routes.py
│   │   └── model_routes.py
│   ├── services/      # Business logic
│   │   ├── gemini_service.py
│   │   └── huggingface_service.py
│   ├── config.py      # Configuration
│   └── run.py         # Application entry point
├── frontend/
│   ├── src/
│   │   ├── components/  # Reusable UI components
│   │   ├── pages/       # Page components
│   │   ├── services/    # API client
│   │   └── types/       # TypeScript types
│   └── public/
└── deployment/
    ├── nginx/         # Nginx configuration
    └── systemd/       # Systemd service files

API Documentation

Authentication Endpoints

• POST /api/v1/auth/register - Register new user
• POST /api/v1/auth/login - Login user
• POST /api/v1/auth/logout - Logout user

Model Endpoints

• GET /api/v1/models - List all models
• GET /api/v1/models/<id> - Get specific model
• POST /api/v1/models - Create new model
• PUT /api/v1/models/<id> - Update model
• DELETE /api/v1/models/<id> - Delete model
• GET /api/v1/models/search - Search models
• POST /api/v1/models/autofill - Auto-fill model details

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License

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