The F1 Race Data Streaming and Visualization System is a real-time application designed to simulate, process, and visualize Formula 1 race data. It leverages AWS services such as Kinesis, Lambda, SNS, and S3, along with web technologies like Flask, to provide a dynamic, interactive dashboard for tracking driver positions, lap times, tyre details, and other race statistics.

The system uses FastF1 to simulate a race session and streams real-time race data into an AWS Kinesis Data Stream. The data is processed through multiple Lambda functions and sent to a Flask web server, which updates a live dashboard showing drivers' positions, lap numbers, tyre compounds, tyre ages, and more.

• This script uses the FastF1 library to simulate the race session.
• Data points such as driver name, lap number, position, tyre compound, tyre age, and sector times are extracted and sent to an AWS Kinesis Data Stream in near real-time.
• The simulation runs at 10x speed for faster updates.
• Data is continuously sent to Kinesis for further processing by AWS Lambda.

There are two Lambda functions:

1. Driver Position Update Lambda:

   This Lambda function listens to the Kinesis Data Stream, decodes the race data, and forwards the driver position details to a Flask web server via an HTTP POST request.

2. Fastest Lap Detection Lambda:

   This Lambda function processes race data to detect the fastest lap. When a new fastest lap is detected, an SNS (Simple Notification Service) alert is triggered, sending the details of the fastest lap.

• A Flask-based web server hosts a live dashboard that visualizes driver positions and race updates.
• It receives data from the Lambda function via HTTP POST requests and updates the current standings.
• A HTML table displays race data (driver, team, position, lap number, tyre compound, and tyre age), refreshing every 5 seconds to show real-time updates.
• The Flask web server uses the /positions endpoint to fetch sorted driver positions.
• A simple HTML page is used for the front-end, which continuously fetches updated driver positions every 5 seconds using JavaScript.
• Data is displayed in a tabular format, with real-time updates on driver positions, tyre compounds, and tyre ages.