https://github.com/tlklein/f1-prediction-app

Helios is a simple and intuitive application designed to predict and display Formula 1 (F1) data by processing and analyzing multiple CSV files.
https://github.com/tlklein/f1-prediction-app

formula1 machine-learning typescript

Last synced: 8 months ago
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Helios is a simple and intuitive application designed to predict and display Formula 1 (F1) data by processing and analyzing multiple CSV files.

• Host: GitHub
• URL: https://github.com/tlklein/f1-prediction-app
• Owner: tlklein
• Created: 2024-07-15T16:29:52.000Z (about 1 year ago)
• Default Branch: main
• Last Pushed: 2024-12-30T17:53:05.000Z (9 months ago)
• Last Synced: 2024-12-30T18:35:40.558Z (9 months ago)
• Topics: formula1, machine-learning, typescript
• Language: JavaScript
• Homepage:
• Size: 14.6 MB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          

![F1 Car with Drivers](https://mclaren.bloomreach.io/delivery/resources/content/gallery/mclaren-racing/formula-1/2024/editorial/f1-2025-schedule-article-cover-wide.jpg)

# F1 Prediction App

Formula 1 race prediction application that processes historical data to predict race positions and visualize trends.

## Setup

### Backend

```bash

cd backend

python -m venv venv

source venv/bin/activate  # Windows: venv\Scripts\activate

pip install -r requirements.txt

python app.py

```

### Frontend

```bash

cd frontend

npm install

npm start

```

## Data Requirements

Place your F1 CSV files in `backend/data/`:

- You can find some on kaggle: https://www.kaggle.com/datasets/rohanrao/formula-1-world-championship-1950-2020

## Features

- Race position predictions using machine learning

- Interactive data visualization

- Historical trend analysis