PCSE24-02

Yoga Pose Detection using AI & ML

Contributors:

• Rimanshu Singh (2100290109014)
• Prateek Kumar (2100290109013)
• Mohd Huzaifa Ansari (2100290109008)

Project Setup Guide

Follow the steps below to set up and run the Yoga Pose Detection project on your local machine.

How to Run the Project

Step 1: Download or Clone the Repository

First, you need to download or clone this repository to your local machine. You can do this by running the following command in your terminal:

git clone <repository-url>

Alternatively, you can download the ZIP file from the repository's GitHub page and extract it to your desired location.

Step 2: Organize the Folders

Ensure that both the Classification_Model and Frontend folders are in the same directory. Your project structure should look like this:

your-project-directory/
│
├── Classification_Model/
│
└── Frontend/

Step 3: Install Frontend Dependencies

Navigate to the Frontend folder and open it in Visual Studio Code (VS Code). In the VS Code terminal, run the following command to install the necessary npm packages:

npm install

or

npm i

Step 4: Start the Frontend

After the npm installation completes successfully, start the frontend by running the following command in the terminal:

npm run start

Step 5: Open the Application in Browser

Once the project starts, open your browser and navigate to:

http://localhost:3000

You should now see the application running locally on your machine.

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Feel free to reach out if you encounter any issues or have any questions. Happy coding! 🚀