Transformi! - Machine Learning & Data Visualization

Features

• Linear regression graphing with random data, CSV files, or manual input
• Neural network training and visualization using TensorFlow
• Interactive Discord UI components
• File generation (graphs, model architectures)

How It Works

The bot uses a hybrid approach:

1. Discord Bot runs in the main thread
2. Flask Web Server runs in a background thread
3. Render pings the web server to keep the service alive
4. Health checks ensure the bot stays online 24/7

Dependencies:

• discord.py - Discord API wrapper
• tensorflow - Neural network training
• matplotlib - Graph generation
• pandas/numpy - Data processing
• flask - Web server for health checks
• scikit-learn - Machine learning utilities

SSL Configuration:

• Automatic SSL certificate handling for macOS
• TensorFlow threading optimization to prevent mutex issues

Performance Optimizations:

• Reduced dataset sizes for free tier compatibility
• Optimized batch sizes for memory efficiency
• Background threading for web server

📁 Project Structure

├── Discord Bot.py          # Main bot file
├── keep_alive.py           # Flask web server for health checks
├── requirements.txt        # Python dependencies
├── render.yaml            # Render deployment config
├── Procfile               # Heroku deployment config
├── runtime.txt            # Python version specification
├── Dockerfile             # Docker deployment config
├── .env.example           # Environment variables template
└── README.md              # This file