A real-time Formula 1 telemetry system and historical data analysis system that captures, processes, and visualizes car data during race sessions, enabling both live replay and historical analysis.The...

A real-time Formula 1 telemetry system and historical data analysis system that captures, processes, and visualizes car data during race sessions, enabling both live replay and historical analysis.
The project involves a two fold analysis approach
Realtime Race replay - To replay how the Race would pan out, and dive deep into what and how things changed that led to an outcome. (Would work during the race as well :) )
Historical analysis - To answer important questions which involves post race analysis, about how weather impacts the outcome, tyre choices , race strategies and pit strategies
Motivation
Formula 1 racing represents the pinnacle of motorsport technology, where split-second decisions and minute performance differences determine victory. This project presents a comprehensive Formula 1 telemetry analysis system that brings together real-time data streaming and historical insights to unlock the complexities of race strategy and performance.
This has been a passion project of mine since long and i hope to keep improving and deploying it down the line for anyone to use and make sense of what factors led to the Race outcome
Project Scope
The project comprises 3 major sections :
Real-time Streaming Pipeline using Confluent Kafka, SingleStore , AWS ec2 deployment
Historical Trend Analysis using DBT , Snowflake , Airflow (WAP maintaining idempodency)
Grafana (Interactive visualizations and deep dive)
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