Merge branch 'first-commit' into 'main'

first commit

See merge request !1

Back-end/Readme.md

+### Back-end
+1. Navigate to the `Back-end` directory:
+   ```bash
+   cd Back-end
+   ```
+2. Install dependencies:
+   ```bash
+   npm install
+   ```
+3. Start the server:
+   ```bash
+   npm start
+   ```
\ No newline at end of file

Front-end/Readme.md

+### Front-end
+1. Navigate to the `Front-end` directory:
+   ```bash
+   cd Front-end
+   ```
+2. Install dependencies:
+   ```bash
+   npm install
+   ```
+3. Start the development server:
+   ```bash
+   npm start
+   ```
+

ML/Readme.md

+### Machine Learning Models
+1. Navigate to the `ML` directory:
+   ```bash
+   cd ML
+   ```
+2. Set up a virtual environment and install dependencies:
+   ```bash
+   pip install -r requirements.txt
+   ```
+3. Run model training or inference scripts:
+   ```bash
+   python train.py
+   python analyze_video.py
\ No newline at end of file

Readme.md

+
+# Capstone Project
+
+## Project Overview
+This project is designed to provide video analysis for tennis matches using machine learning models. The system allows users to upload match videos, view performance analysis, and compare player statistics.
+
+### Folder Structure
+
+```
+/Back-end
+/Front-end
+/ML
+/README.md
+```
+
+- **Back-end**: Contains the code for server-side logic and API routes.
+- **Front-end**: User interface to upload videos and view analysis.
+- **ML**: Machine learning models for video processing and performance analysis.
+
+## Setup Instructions
+
+### Prerequisites:
+- Node.js
+- Python 3.x
+- Required libraries (listed in `requirements.txt`)
+
+### Back-end
+1. Navigate to the `Back-end` directory:
+   ```bash
+   cd Back-end
+   ```
+2. Install dependencies:
+   ```bash
+   npm install
+   ```
+3. Start the server:
+   ```bash
+   npm start
+   ```
+
+### Front-end
+1. Navigate to the `Front-end` directory:
+   ```bash
+   cd Front-end
+   ```
+2. Install dependencies:
+   ```bash
+   npm install
+   ```
+3. Start the development server:
+   ```bash
+   npm start
+   ```
+
+### Machine Learning Models
+1. Navigate to the `ML` directory:
+   ```bash
+   cd ML
+   ```
+2. Set up a virtual environment and install dependencies:
+   ```bash
+   pip install -r requirements.txt
+   ```
+3. Run model training or inference scripts:
+   ```bash
+   python train.py
+   python analyze_video.py
+   ```
+
+## Technologies Used:
+- Node.js (Back-end)
+- React/Vue.js (Front-end)
+- Python (Machine Learning)
+- TensorFlow/PyTorch (ML Models)
+
+## Contributing
+1. Fork the repository.
+2. Create a feature branch (`git checkout -b feature-branch`).
+3. Commit your changes (`git commit -m 'Add new feature'`).
+4. Push to the branch (`git push origin feature-branch`).
+5. Open a pull request.