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Welcome to F1 Strategy Manager Wiki
This wiki contains comprehensive documentation for the F1 Strategy Manager project, organized in a hierarchical structure for easy navigation. It is generated through DeepWiki, if you want to see also the figures of the documentation, please, navigate to this link over here.
📋 Complete Documentation
- 📖 Complete Documentation - Full system documentation with all sections organized hierarchically
🗂️ Documentation Structure
🔍 1. Overview
- Overview - Project introduction and general information
- System Architecture - Overall system design and components
- Installation and Setup - Getting started guide
📊 2. Streamlit Dashboard
- Streamlit Dashboard - Interactive web interface
- Strategy Recommendations View - Strategic decision interface
- Gap Analysis View - Real-time gap tracking
- Radio Analysis View - Team radio insights
- Time Predictions View - Lap time forecasting
- Strategy Chat Interface - AI-powered strategy chat
🤖 3. Machine Learning Models
- Machine Learning Models - AI/ML components
- Lap Time Prediction - Predictive models for lap times
- Tire Degradation Modeling - Tire performance analysis
- Vision-based Gap Calculation - Computer vision for gap detection
🎤 4. NLP Pipeline
- NLP Pipeline - Natural Language Processing components
- Radio Transcription - Speech-to-text processing
- Sentiment and Intent Analysis - Emotional and intent recognition
- Named Entity Recognition - Entity extraction from radio communications
⚙️ 5. Expert System
- Expert System - Rule-based decision engine
- Degradation Rules - Tire degradation logic
- Gap Analysis Rules - Gap calculation rules
- Radio Message Rules - Communication analysis rules
- Integrated Rule Engine - Unified rule processing
👨💻 6. Developer Guide
- Developer Guide - Technical documentation for developers
- API Reference - Complete API documentation
- Integration Guide - How to integrate with external systems
🏎️ Project Overview
The F1 Strategy Manager is an integrated AI-powered system for Formula 1 race strategy analysis and decision support, combining:
- 🤖 Machine Learning Models - Predictive analytics for lap times and tire performance
- 👁️ Computer Vision - Automated gap calculation from video feeds
- 🎤 Natural Language Processing - Radio communication analysis and insights
- ⚙️ Rule-based Expert Systems - Strategic recommendations based on F1 expertise
- 📊 Interactive Streamlit Dashboard - User-friendly web interface for real-time analysis
📝 This documentation is automatically generated and updated from the project's DeepWiki documentation.