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๐Ÿ”ฎ AI-powered Powerball & Mega Millions lottery number prediction using deep learning (Transformer + LSTM), Markov chains, and statistical analysis. Built with TensorFlow/Keras 3.

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๐Ÿ”ฎ PowerPredict - AI Lottery Number Prediction

Python TensorFlow Keras Docker

PowerPredict is an advanced lottery number prediction system that uses deep learning, statistical analysis, and ensemble methods to generate Powerball and Mega Millions number predictions based on historical drawing data.

โš ๏ธ Disclaimer: Lottery outcomes are random. This tool is for educational and entertainment purposes only. Please gamble responsibly.


โœจ Features

  • ๐Ÿง  Deep Learning Ensemble - Transformer + Bidirectional LSTM/GRU hybrid neural networks
  • ๐Ÿ“Š Multi-Strategy Analysis - Frequency, gap, Markov chain, and pattern matching models
  • ๐ŸŽฏ Smart Diversity - Guaranteed unique predictions with Hamming distance enforcement
  • ๐Ÿ“ˆ Historical Data Analysis - Analyzes 1,800+ historical lottery drawings
  • ๐Ÿณ Docker Ready - Containerized deployment with one command
  • โšก Fast Predictions - Optimized numpy/pandas operations

๐Ÿš€ Quick Start

Using Docker (Recommended)

# Clone and build
git clone https://github.com/cpeoples/powerpredict.git
cd powerpredict
docker build -t powerpredict .

# Run predictions
docker run powerpredict powerball -n 5
docker run powerpredict megamillions -n 10 --analyze

Using Python

# Clone repository
git clone https://github.com/cpeoples/powerpredict.git
cd powerpredict

# Create virtual environment
python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate

# Install dependencies
pip install -r requirements.txt

# Run predictions
python main.py powerball -n 5
python main.py megamillions -n 10 --analyze

๐Ÿ“– Usage

# Generate 5 Powerball predictions
python main.py powerball -n 5

# Generate 10 Mega Millions predictions with statistical analysis
python main.py megamillions -n 10 --analyze

# Quick mode (statistical only, no deep learning)
python main.py powerball -n 5 --quick

# Run 5 matrices for consensus analysis
python main.py powerball -n 5 --matrix 5

# Show help
python main.py --help

Command Line Options

Option Description
powerball Predict Powerball numbers (1-69 + Power Ball 1-26)
megamillions Predict Mega Millions numbers (1-70 + Mega Ball 1-25)
-n, --num-predictions Number of predictions to generate (default: 5)
-a, --analyze Show detailed statistical analysis
-q, --quick Skip deep learning (faster, statistical only)
-m, --matrix Number of matrices for consensus analysis (default: 1)

๐Ÿงช How It Works

PowerPredict combines four prediction strategies into a master ensemble:

1. Weighted Statistical Model

Analyzes historical frequency, gap patterns, and positional tendencies to score each number.

2. Markov Chain Model

Uses transition probabilities to predict which numbers are likely to follow recent drawings.

3. Pattern Matching Model

Generates combinations matching historical patterns (sum ranges, odd/even ratios, high/low distribution).

4. Deep Learning Ensemble

  • Transformer with multi-head attention for sequence patterns
  • Bidirectional LSTM/GRU hybrid for temporal dependencies
  • Temperature-based sampling to prevent mode collapse

Master Ensemble

Combines all models with weighted averaging and enforces diversity:

  • โœ… No repeated Power Balls across predictions
  • โœ… Minimum Hamming distance between number sets
  • โœ… Full range coverage (no clustering)

๐Ÿ› ๏ธ Technology Stack

Python ย ย  TensorFlow ย ย  Keras ย ย  Pandas ย ย  Scikit-learn ย ย  Docker

Technology Version Purpose
Python 3.11+ Core runtime
TensorFlow 2.18+ Deep learning backend
Keras 3.0+ Neural network API
NumPy 1.26+ Numerical computing
Pandas 2.2+ Data manipulation
Scikit-learn 1.5+ ML utilities

๐Ÿ“Š Sample Output

======================================================================
๐Ÿ”ฎ POWERPREDICT - INTELLIGENT LOTTERY ANALYSIS SYSTEM
======================================================================
   Game: POWERBALL
   Predictions: 5
   Mode: Full (Statistical + Deep Learning)

๐Ÿ“ฅ Loading historical data...
   โœ“ Loaded 1885 historical drawings

๐Ÿ“Š Running comprehensive statistical analysis...
   โœ“ Analysis complete

๐Ÿง  Training deep learning ensemble...
   โœ“ Training complete

======================================================================
โญ MASTER ENSEMBLE PREDICTIONS (HIGHEST CONFIDENCE)
======================================================================

๐ŸŽฐ MASTER ENSEMBLE:
--------------------------------------------------
   #1: [ 6 - 22 - 32 - 51 - 57]  Power Ball: 22 (agreement: 46%)
   #2: [ 6 - 19 - 39 - 53 - 66]  Power Ball: 12 (agreement: 44%)
   #3: [ 7 - 30 - 40 - 49 - 63]  Power Ball: 18 (agreement: 57%)
   #4: [ 9 - 22 - 42 - 49 - 58]  Power Ball: 15 (agreement: 54%)
   #5: [ 8 - 13 - 21 - 42 - 53]  Power Ball:  7 (agreement: 47%)

๐Ÿค Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

  1. Fork the repository
  2. Create your feature branch (git checkout -b feature/AmazingFeature)
  3. Commit your changes (git commit -m 'Add some AmazingFeature')
  4. Push to the branch (git push origin feature/AmazingFeature)
  5. Open a Pull Request

โš ๏ธ Disclaimer

This software is provided for educational and entertainment purposes only. Lottery outcomes are determined by cryptographically secure random number generators and cannot be predicted by any statistical or machine learning method.

  • The probability of winning Powerball is 1 in 292,201,338
  • The probability of winning Mega Millions is 1 in 302,575,350

Please gamble responsibly.


Made with โค๏ธ and ๐Ÿค– by cpeoples

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๐Ÿ”ฎ AI-powered Powerball & Mega Millions lottery number prediction using deep learning (Transformer + LSTM), Markov chains, and statistical analysis. Built with TensorFlow/Keras 3.

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