backend repo : https://github.com/chechna9/valorant_win_prediction_server

Valorant Win Prediction

Valorant Win Prediction is a web application that utilizes an AI model to predict the win chances of two teams in the popular game Valorant. Whether you're a player or a fan, this tool can provide insights into the possible outcome of a match.

Table of Contents

• Features
• Technologies Used
• Getting Started
• Installation
• Usage
• Contributing
• License

Features

• Win Chance Prediction: The app predicts the win chance for two teams based on an AI model's analysis.
• Valorant Data Analysis: Utilizes game data and statistics to make accurate predictions.
• User-Friendly Interface: An intuitive design for easy input and result interpretation.

Technologies Used

• React: A JavaScript library for building user interfaces.
• Flask: A micro web framework for building web applications.
• scikit-learn (sklearn): A machine learning library for Python used for creating the AI model.

Getting Started

To get started with Valorant Win Prediction, follow these steps:

1. Clone this repository to your local machine.
2. Navigate to the project root folder.
3. Set up the Flask server (instructions in the server directory).

Installation

You can access Valorant Win Prediction by visiting the web application.

Usage

1. Open the Valorant Win Prediction web application.
2. Input relevant match data (e.g., team statistics, map, etc.).
3. Obtain the predicted win chance for each team.
4. Use this prediction as a valuable insight for Valorant matches.

Contributing

Contributions to Valorant Win Prediction are welcome! If you'd like to contribute, please follow these guidelines:

1. Fork the repository.
2. Create a new branch for your feature or bug fix.
3. Make your changes and ensure that the code is well-documented.
4. Open a pull request describing your changes.

License

This project is licensed under the MIT License. You are free to use, modify, and distribute this software.