AI-Powered Hashrate Prediction System 🧠

A Reinforcement Learning-driven application that displays predictive selections based on historical hashrate data for optimized mining operations.

Demo

Features

• RL-powered predictive analytics trained on historical hashrate data
• Real-time prediction visualization showing optimal power usage selections
• Interactive forecasting charts with AI-driven insights

Quick Start

# Install dependencies
pip install -r requirements.txt

# Run the application
streamlit run power_price_monitor.py

Application Overview

This application leverages Reinforcement Learning to provide intelligent hashrate predictions:

• RL Model Predictions: AI-driven forecasts based on historical hashrate patterns
• Predictive Analytics: Smart recommendations for optimal mining power usage
• Performance Tracking: Real-time model accuracy and prediction confidence metrics
• Decision Support: Data-driven insights for mining operation optimization

Technical Details

• Built with Streamlit for the web interface
• Plotly for interactive charts
• Pandas for data management
• Real-time updates every second
• Professional Material Design-inspired styling

Usage

1. Click Start to begin RL prediction analysis
2. Use Pause to stop model updates
3. Click Reset to clear prediction history
4. Monitor AI-driven hashrate predictions and optimization recommendations

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Evolved from basic monitoring to intelligent RL-powered prediction system for mining optimization.