This project is a machine-learning web app that predicts the Formula 1 season winner using race-level and driver-level data. The app allows users to upload an Excel dataset (containing race results, standings, wins, and race winners), then processes the data and trains an XGBoost model to predict the season champion.

🏎️ Predict race winners and championship outcomes for the 2025 F1 season using AI and machine learning with real-time updates and interactive features.

Developed a Multiple/Bivariate Logistic Regression Model to use features such as weather and Circuit name to predict Race Winners using the 2024 F1 season dataset.

This project aims to develop a predictive model that analyzes Formula 1 race results from the current season to forecast the winner of upcoming Grand Prix races. By leveraging historical performance data, driver statistics, and race conditions, the model provides data-driven predictions for F1 enthusiasts and analysts.

F1 2026 Championship Predictor - fetches live data and predicts the season winner

Predicting the Driver Championship winner of the 2025 F1 season

Streamlit app that predicts 2025 F1 GP Winners based on previous season race datasets

Personal Project using Machine Learning and AI to predict race winners for the 2025 F1 season

"Real-time F1 race winner predictor for the 2026 season overhaul using Hybrid ML and Gemini-powered strategy analysis."

Based on the F1 data API, building a Machine Learning Model to predict winners of the 2025 Calendar season

This project intends to predict the winner of each F1 race for the 2018 season, a season with several unexpected winners that can be a real challenge to get right.

The F1 Race Prediction System is a machine learning project that predicts the winners of the upcoming Formula 1 season (2025) based on historical race data (2023–2024).

This is a project where I used ML and DL to predict the podium and the winner of an F1 GP using the data available on across the 2025 season

A machine learning project to predict Formula 1 Grand Prix winners and simulate full-season championship outcomes using driver stats, qualifying data, and race history. Inspired by open-source F1 analytics, with enhanced models and features.

PacePilot - ML-powered Formula 1 race analytics platform. Predict lap times, optimize pit strategies & forecast race winners using Random Forest & Gradient Boosting models trained on 73K+ laps from 2022-2024 F1 seasons. Built with FastF1, scikit-learn & Gradio.