Hosted Website Link: https://cricket-code-hack.vercel.app/
This React project is designed to predict the performance of batsmen and bowlers in upcoming cricket matches. The application utilizes machine learning algorithms to forecast the number of runs a batsman will score and the number of fours they are likely to hit. Additionally, it predicts the number of balls a bowler will deliver in the upcoming matches.
- Batsman Run Prediction: Using historical data and machine learning models, the app forecasts the expected number of runs a particular batsman might score in an upcoming match.
- Fours Prediction: Predicts the number of boundary shots (fours) a batsman is likely to hit during the match.
- Bowler's Ball Prediction: Utilizes statistical analysis and predictive modeling to estimate the number of balls a bowler might bowl in the forthcoming game.
- React: The frontend of the application is built using React.js, providing a dynamic and responsive user interface.
- Machine Learning: Python libraries such as Scikit-learn or TensorFlow are used for predictive modeling and analysis of historical cricket data.
- API Integration: Possible integration with cricket APIs to fetch real-time match data, player statistics and weather data.
To run this project locally:
- Clone this repository.
- Navigate to the project directory.
- Install dependencies using
npm install. - Start the development server using
npm start.
- Upon starting the app, the user can input/select the batsman's name for whom they want to predict runs and fours.
- Similarly, the user can input/select the bowler's name to predict the number of balls they might bowl.
- The app will display the predictions based on the machine learning models and historical data analysis.
- This project was inspired by the love for cricket and the curiosity to predict player performances.