Hack the Track - Motogpt Submission (Victa) скачать в хорошем качестве

Hack the Track - Motogpt Submission (Victa)

MotoGPT - AI Race Coach for Toyota GR Cup | Hackathon Demo Turn 3 million data points into podium finishes. MotoGPT is an AI-powered race coaching platform that democratizes professional telemetry analysis for grassroots racers. 🏁 What You'll See in This Demo We analyze a real Toyota GR Cup session from Barber Motorsports Park (Car 2, 27 laps): Position: Finished 7th, but AI shows 2nd place potential Total Race Gain: 16.3 seconds = 5 positions Key Weakness: Sector 2 (minus 0.386s per lap) Session Progress: 5.09s improvement tracked in real-time 🚀 Key Features GPS-Accurate Track Analysis - Interactive speed heatmaps showing exactly where time is lost AI Conversational Coach - Ask "Why is Sector 2 my weakest?" and get instant, data-driven answers 8-Metric Telemetry Comparison - Speed, brake pressure, throttle, steering, RPM, gear, G-forces Session Debrief - Gap breakdown, consistency scoring, position improvement potential Personalized Training Drills - AI-generated practice routines targeting specific weaknesses Multi-Platform - Full web app plus native iPad app ready for trackside use 🎯 The Problem We're Solving A single GR Cup race generates 3 million telemetry data points (23 million per season). This data holds the key to faster lap times, but it's trapped in spreadsheets that only engineers with 10,000 dollar software can interpret. 💡 Our Solution MotoGPT transforms overwhelming telemetry into three things: 1. WHERE you're losing time (GPS-accurate corner analysis) 2. WHY you're losing it (technique differences vs benchmark) 3. HOW to fix it (specific brake markers, speeds, and drills) All in plain English, accessible to every driver. 🏆 Real Impact Example (This Demo) Driver: Car 2, Barber Motorsports Park Race 1 Best Lap: 98.326s (Lap 5) Gap to Field Best: 0.898s Sector Breakdown: S1: minus 0.284s S2: minus 0.386s (weakest) S3: minus 0.228s Position Analysis: 7th actual to 2nd potential (5 positions) Total Potential Gain: 16.335 seconds over the full race 🛠️ Tech Stack Backend: Python FastAPI plus PostgreSQL AI: GPT-4 and Claude 3.5 Sonnet (multi-agent system) Frontend: Next.js 14, TypeScript, React, Recharts Mobile: React Native/Expo (native iPad app) Data: Custom AiM telemetry parsers, GPS processing 🎓 What We Learned AI agents need rich context (sector deltas, GPS coords) for accurate coaching Conversational UX beats static dashboards Drivers want "brake at 100m with 48 bar" not "0.386s slow in S2" Small improvements (0.1s per corner) compound into race wins (5 positions) 🔮 What's Next Live Session Integration: Real-time analysis during practice Video Overlay: Sync onboard footage with telemetry Predictive Coaching: ML models for optimal racing line Race Strategy: Pit stop timing, tire degradation Expand Beyond GR Cup: Miata Cup, F4, karting, GT racing 🏁 Toyota Kaizen Philosophy Every feature embodies continuous improvement: Track learning curves session-by-session Quantify every gain (0.1s matters) Make improvement accessible to everyone 📊 Demo Timeline 0:00 - Introduction and Problem Statement 0:20 - Session Loading (27 laps, 180K plus data points) 0:45 - GPS Track Analysis and Sector Breakdown 1:20 - Telemetry Trace Comparison 1:50 - AI Conversational Coaching (Killer Feature!) 2:35 - Session Debrief and Impact 2:50 - Closing and Vision 🔗 Links Live Demo: https://motogpt.co 🏆 Hackathon Built for the Toyota GR Cup Hackathon 2025 --- MotoGPT: Turning Data Into Speed. Speed Into Podiums. Made with love for grassroots racers who deserve professional-level tools.