F1 Integrated Systems

A Predictive Maintenance & Race Strategy Optimization Platform inspired by the systems used by Formula 1 teams.

Status: Work in progress — currently in planning and foundation phase.

What This Is

A full-stack platform that simulates a race weekend environment where component health telemetry (engine, gearbox, brakes, tires) feeds into a predictive maintenance model. Those health predictions then act as dynamic constraints for a race strategy engine that recommends pit stop timing, tire selection, and pace management.

Core Components

• Telemetry Simulator — generates realistic sensor streams with configurable degradation and failure modes
• Predictive Maintenance Model — anomaly detection and remaining useful life (RUL) prediction per component
• Strategy Optimizer — constraint-based race strategy engine driven by component health predictions
• Real-time Dashboard — live telemetry, component health gauges, and dynamic strategy timeline

Tech Stack

Layer	Technologies
Backend	Python 3.11, FastAPI, PostgreSQL, TimescaleDB
ML	scikit-learn, PyTorch
Strategy	OR-Tools
Real-time	Redis Streams, WebSockets
Frontend	React, Next.js, TailwindCSS
Infrastructure	Docker, GitHub Actions

Project Structure

f1-integrated-systems/
├── backend/          # FastAPI application
├── frontend/         # React / Next.js dashboard
├── ml-notebooks/     # Jupyter notebooks for model exploration
├── docs/             # MkDocs documentation
└── docker-compose.yml

Getting Started

Setup instructions will be added at the end of Phase 1.

Roadmap

• Phase 1 — Foundation & Data Layer
• Phase 2 — Predictive Maintenance Model
• Phase 3 — Strategy Optimization Engine
• Phase 4 — Full Integration & Dashboard
• Phase 5 — Polish, Testing & Documentation

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Portfolio project targeting software engineering and AI roles in motorsport.