sree-hari-s / Product-Recommendation

Personalized product recommendations using machine learning. Filter products by category, select one you like, and get suggestions.

Product Recommendation for E-commerce

This is a simple E-commerce Recommendation System implemented using Streamlit and Python. It allows users to filter products by category, select a product, and get recommendations based on the selected product.

Installation Setup Guide

This guide will walk you through the process of setting up the E-commerce Recommendation System project on your local machine by forking the repository and running it using Streamlit.

Step 1: Fork the Repository

1. Click the "Fork" button in the top-right corner of the page. This will create a copy of the project in your GitHub account.

Step 2: Clone Your Forked Repository

1. On your forked repository page, click the "Code" button and copy the HTTPS or SSH URL to clone the repository.

2. Open your terminal or command prompt.

3. Navigate to the directory where you want to store the project by using the cd command.

4. Clone the repository by running the following command, replacing <repository_url> with the URL you copied:

   git clone <repository_url>

Step 3: Set Up a Virtual Environment (Optional but Recommended)

1. Navigate to the cloned project directory using the cd command.

2. Create a virtual environment (optional but recommended):

3. Activate the virtual environment:

   • On Windows:

     .\venv\Scripts\activate

   • On macOS and Linux:

     source venv/bin/activate

Step 4: Install Dependencies

1. While inside the project directory and with the virtual environment activated (if used), install project dependencies from the requirements.txt file:

   pip install -r requirements.txt

Step 5: Run the Application

1. Run the Ecommerce Recommendation System application using Streamlit:

   streamlit run app.py

2. This will start the Streamlit app locally, and you can access it in your web browser.

Contribute

You can also contribute to this project

• Check out the CONTRIBUTING.md file to get started

Contact

For any queries, feel free to open an issue or reach out to me at [e-mail].

License

This project is licensed under the terms of the MIT License.