// Project

LapMaster

Full-stack analysis platform built with React and Flask. Leverages FastF1 API and Machine Learning to provide detailed telemetry insights, interactive track maps, and race strategy visualization.

ReactTypeScriptNext.js

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The Problem

Finding the perfect lap time is difficult when data is scattered. Racers need a unified view of their sector times and theoretical bests.

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The Solution

LapMaster aggregates timing data to calculate the theoretical best lap. It visualizes sector performance and highlights specific areas for improvement.

Data & Architecture

A Flask (Python) backend analyzes laptimes, while the React frontend presents interactive charts and comparison tools. Data is stored and retrieved efficiently to allow historical analysis.