Skip to content

Repository files navigation

Lottery Prediction Website

A data-driven lottery prediction website built with Python Flask backend, Vue.js frontend, and LangChain integration. Features historical data analysis, multiple prediction algorithms, and strict ethical compliance with responsible gambling requirements.

🎯 Features

  • Historical Data Analysis: Comprehensive analysis of lottery draw patterns and trends
  • Multiple Prediction Methods:
    • Weighted frequency analysis
    • Markov chains modeling
    • Ensemble methods
    • LangChain AI integration with explainable reasoning
  • Ethical AI Compliance:
    • Confidence scores capped at 85% (constitutional requirement)
    • Mandatory responsible gambling messaging
    • Statistical validation with >90% test coverage
    • Full transparency and explainability

πŸ›‘οΈ Constitutional Compliance

This project adheres to strict ethical AI principles:

  • Data-Driven Approach: Only uses historical lottery data, no superstitions
  • Responsible AI Ethics: Confidence capped at 85%, prominent disclaimers required
  • Statistical Rigor: Cross-validation, overfitting prevention, uncertainty quantification
  • Transparency: Model explanations, confidence intervals, methodology documentation
  • Continuous Testing: >90% test coverage with statistical validation

πŸ—οΈ Technical Architecture

Backend (Python/Flask)

  • Framework: Flask with application factory pattern
  • Database: SQLite (development), PostgreSQL (production)
  • Machine Learning: scikit-learn, pandas, numpy, matplotlib
  • AI Integration: LangChain for explainable predictions
  • Testing: pytest with >90% coverage requirement

Frontend (Vue.js 3)

  • Framework: Vue.js 3 with Composition API
  • State Management: Pinia
  • UI Components: Element Plus
  • Data Visualization: Chart.js with vue-chartjs
  • Build Tool: Vite

πŸ“ Project Structure

β”œβ”€β”€ backend/                 # Flask API backend
β”‚   β”œβ”€β”€ src/
β”‚   β”‚   β”œβ”€β”€ models/         # Database models
β”‚   β”‚   β”œβ”€β”€ services/       # Business logic
β”‚   β”‚   β”œβ”€β”€ api/           # API endpoints
β”‚   β”‚   β”œβ”€β”€ ml/            # Machine learning models
β”‚   β”‚   └── utils/         # Utilities and helpers
β”‚   β”œβ”€β”€ tests/             # Test suite
β”‚   β”œβ”€β”€ templates/         # HTML templates
β”‚   β”œβ”€β”€ config/            # Configuration
β”‚   └── requirements.txt   # Python dependencies
β”œβ”€β”€ frontend/               # Vue.js frontend
β”‚   β”œβ”€β”€ src/
β”‚   β”‚   β”œβ”€β”€ components/    # Vue components
β”‚   β”‚   β”œβ”€β”€ pages/         # Page components
β”‚   β”‚   β”œβ”€β”€ services/      # API services
β”‚   β”‚   └── utils/         # Utilities
β”‚   β”œβ”€β”€ public/            # Static assets
β”‚   └── package.json       # Node.js dependencies
β”œβ”€β”€ docs/                  # Documentation
β”œβ”€β”€ .github/workflows/     # CI/CD configuration
└── docker-compose.yml     # Development environment

πŸš€ Quick Start

Prerequisites

  • Python 3.11+
  • Node.js 18+
  • Docker (optional)

Development Setup

  1. Clone the repository

    git clone <repository-url>
    cd lottery-prediction-website
  2. Backend Setup

    cd backend
    python -m venv venv
    source venv/bin/activate  # On Windows: venv\Scripts\activate
    pip install -r requirements.txt
    flask run
  3. Frontend Setup

    cd frontend
    npm install
    npm run dev
  4. Environment Configuration

    cp .env.example .env
    # Edit .env with your configuration

Docker Development

# Start all services
docker-compose up

# Production build
docker-compose --profile production up

πŸ§ͺ Testing

Backend Tests

cd backend
pytest --cov=src --cov-report=html

Frontend Tests

cd frontend
npm run test

All Tests with Coverage

# Backend - must maintain >90% coverage
cd backend && pytest --cov-fail-under=90

# Frontend
cd frontend && npm run test:coverage

πŸ“Š Ethical Compliance Requirements

Prediction Confidence

  • Maximum Allowed: 85%
  • Constitutional Requirement: Confidence scores cannot exceed 85%
  • Implementation: Automatically capped in all prediction models

Responsible Gambling

  • Mandatory Disclaimers: All prediction pages include responsible gambling messaging
  • Help Resources: Links to problem gambling support services
  • User Education: Information about lottery randomness and responsible play

Statistical Validation

  • Test Coverage: >90% required
  • Cross-Validation: 5-fold cross-validation for all ML models
  • Confidence Intervals: Required for all predictions
  • Performance Monitoring: Continuous validation of model performance

πŸ”§ Configuration

Environment Variables

See .env.example for all available configuration options.

Key constitutional compliance settings:

MAX_PREDICTION_CONFIDENCE=0.85      # Do not change - constitutional requirement
RESPONSIBLE_GAMBLING_REQUIRED=true  # Do not change - ethical requirement
ETHICAL_DISCLAIMERS_ENABLED=true    # Do not change - compliance requirement

πŸ“ˆ Performance Requirements

  • Prediction Generation: < 3 seconds
  • Data Access: < 30 seconds
  • API Response: < 1 second
  • System Uptime: > 99%

πŸ›‘οΈ Security

  • Input validation and sanitization
  • SQL injection prevention
  • XSS protection
  • Secure session management
  • Environment variable configuration
  • Regular security audits

πŸ“ Documentation

🀝 Contributing

  1. Follow constitutional compliance requirements
  2. Maintain >90% test coverage
  3. Include ethical disclaimers
  4. Ensure statistical validation
  5. Update documentation

πŸ“„ License

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

πŸ†˜ Help & Support

Responsible Gambling Resources

Technical Support

  • Create an issue for bug reports
  • Check documentation for common questions
  • Review ethical guidelines before contributing

⚠️ Important Notice: This application is for educational and entertainment purposes only. Lottery draws are random events, and no prediction method can guarantee winning outcomes. Please gamble responsibly and within your means.

About

No description, website, or topics provided.

Resources

Stars

0 stars

Watchers

0 watching

Forks

Releases

Packages

Contributors

Languages