Intelligent Cricket Team Selection System (ICTSS) - Backend

The Intelligent Cricket Team Selection System (ICTSS) is a Spring Boot application designed to help selectors, coaches, and analysts make data-driven decisions for cricket team selection using advanced machine learning and real-time analytics.

Table of Contents

• Project Overview
• Features
• Technologies Used
• Requirements
• Installation
• Running the Application
• Folder Structure
• API Endpoints
• Future Enhancements

Project Overview

The Intelligent Cricket Team Selection System (ICTSS) aims to optimize the process of selecting cricket teams based on player statistics, match conditions, and real-time analytics. The backend is built using Spring Boot with a MySQL database, Java for business logic, and Python for the machine learning model.

The system includes:

• Secure user authentication and role management.
• Player and team management.
• Real-time recommendations for team selection using data-driven insights.
• Advanced analytics for player performance, team dynamics, and match outcomes.

Features

• User Authentication: Secure registration, login, logout, and role-based access control (Admin, Coach, Selector, Analyst).
• Player Management: Add, update, delete, and view detailed player statistics.
• Team Selection: Automatically suggest the best team based on data, and allow manual adjustment.
• Playground Management: Manage cricket grounds including location, conditions, and match history.
• Reports & Analytics: Generate and view detailed performance reports and analytics.

Technologies Used

• Spring Boot - Backend framework
• MySQL - Relational database
• Angular - Frontend framework (for the Web UI)
• Java - Backend logic
• Python - Machine learning model
• Maven - Build tool
• CoreUI - Admin template for the frontend UI
• JPA/Hibernate - ORM for database interactions

Requirements

Before you start, ensure you have the following installed:

• Java 17 or higher
• Maven 3.6 or higher
• MySQL 8.x
• Python 3.x (for machine learning components)

Installation

1. Clone the Repository

git clone https://github.com/Nuraj250/ictss-backend.git
cd ictss-backend

2. Configure MySQL Database

Create a MySQL database and configure the connection in src/main/resources/application.properties:

spring.datasource.url=jdbc:mysql://localhost:3306/ictss
spring.datasource.username=root
spring.datasource.password=your_password
spring.jpa.hibernate.ddl-auto=update

3. Install Dependencies

Run the following command to install the required dependencies:

mvn clean install

4. Run the Application

You can run the application by executing:

mvn spring-boot:run

The backend will be running at http://localhost:8080.

Folder Structure

/src
  /main
    /java
      /com
        /ictss
          /controller         # REST API controllers
          /service             # Business logic services
          /model               # Entity classes
          /repository          # Database repository interfaces
          /config              # Security and configuration files
          /dto                 # Data transfer objects for API
          /util                # Utility classes
          /enum                # Enums for player types, roles, etc.
    /resources
      /static                  # Static resources (HTML, CSS)
      /templates               # Email or report templates
      application.properties   # Configuration properties

API Endpoints

Endpoint	Method	Description
/auth/register	POST	Register a new user
/auth/login	POST	Login to the system
/players	GET	List all players
/players/{id}	GET	Get details of a specific player
/players	POST	Add a new player
/players/{id}	PUT	Update an existing player
/players/{id}	DELETE	Delete a player
/teams	POST	Create a new team
/teams/recommend	GET	Get recommended team based on data
/teams/{id}	GET	Get details of a specific team
/reports/performance	GET	Generate performance report for players

Role Management

Roles include:

• Admin: Full access to all functionalities.
• Coach/Selector: Can manage players, teams, and view reports.
• Analyst: Can generate reports and view analytics.

Future Enhancements

• Real-Time Match Data Integration: Extend the system to automatically pull live match data.
• Enhanced Analytics: Add more detailed and visual analytics, including team comparisons.
• Mobile App: Develop a mobile-friendly version of the system.

License

This project is licensed under the MIT License - see the LICENSE.md file for details.