https://github.com/ynstf/casa-shop-microservices-e-commerce-platform-with-nlp-product-filtering-and-recommendation-system

Casa Shop is an e-commerce platform built on a microservices architecture, leveraging cutting-edge Deep Learning models for Natural Language Processing (NLP) to enhance product filtration and recommendation functionalities.
https://github.com/ynstf/casa-shop-microservices-e-commerce-platform-with-nlp-product-filtering-and-recommendation-system

Last synced: 14 days ago
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Casa Shop is an e-commerce platform built on a microservices architecture, leveraging cutting-edge Deep Learning models for Natural Language Processing (NLP) to enhance product filtration and recommendation functionalities.

• Host: GitHub
• URL: https://github.com/ynstf/casa-shop-microservices-e-commerce-platform-with-nlp-product-filtering-and-recommendation-system
• Owner: ynstf
• Created: 2024-04-10T09:54:28.000Z (10 months ago)
• Default Branch: main
• Last Pushed: 2024-04-10T13:02:54.000Z (10 months ago)
• Last Synced: 2024-11-12T04:13:42.911Z (2 months ago)
• Language: JavaScript
• Size: 20.7 MB
• Stars: 0
• Watchers: 1
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Casa Shop

Casa Shop is an e-commerce platform built on a microservices architecture, leveraging cutting-edge Deep Learning models for Natural Language Processing (NLP) to enhance product filtration and recommendation functionalities.

## Components

The project consists of several components, each responsible for a specific functionality:

- **EcommerceAI**: Main Django application for managing overall platform operations.

- **Product**: Django application for managing products and related functionalities.

- **Django-auth**: Django application for user authentication and authorization.

- **Policy**: Django application for enforcing platform policies.

- **Search Category**: Flask application for category-based product searching.

- **Search Products**: Flask application for product searching.

- **Similarity Model**: Flask application for product similarity analysis.

      ![casa 1](https://github.com/ynstf/Casa-Shop-Microservices-E-commerce-Platform-with-NLP-Product-Filtering-and-Recommendation-System/assets/107154559/bcbc7128-18a0-45b7-8b6b-c99ae27b8670)

- **Product Classification Policy**: FastAPI application for product classification based on policy compliance.

      ![casa 2](https://github.com/ynstf/Casa-Shop-Microservices-E-commerce-Platform-with-NLP-Product-Filtering-and-Recommendation-System/assets/107154559/b113cf27-4d61-4ba4-be54-36596e83288d)

## Running the Servers

To run the servers for different components, follow these steps:

1. Start Django servers:

    ```bash

    venv\Scripts\python EcommerceAI\manage.py runserver

    venv\Scripts\python product\manage.py runserver 5555

    venv\Scripts\python django-auth\manage.py runserver 7777

    venv\Scripts\python policy\manage.py runserver 9999

    ```

    These commands start Django servers for different components of your application (EcommerceAI, product, django-auth, and policy) on different ports. Make sure each of these servers starts successfully without any errors.

2. Start Flask servers:

    ```bash

    venv\Scripts\python search-category\server.py

    venv\Scripts\python search-products\server.py

    venv\Scripts\python similarity-model\server.py

    ```

    These commands start Flask servers for search category, search products, and similarity model.

   

3. Start FastAPI server:

    ```bash

    cd Product-classification-policy && venv\Scripts\uvicorn app:app --host 0.0.0.0 --port 1111

    ```

    This command navigates to the Product-classification-policy directory and starts a FastAPI server using uvicorn on port 1111.

   

Make sure all servers are running and accessible.

4. Start All servers:

   

   you can simply double-click the run_all_servers.bat file to execute it, or you can run it from the command line by typing run_all_servers.bat and pressing Enter. This will start all servers in separate windows simultaneously.

## Usage

- Access the EcommerceAI platform through the provided endpoints.

- Utilize various functionalities such as product management, user authentication, policy enforcement, product searching, and similarity analysis.

- Interact with different components as required by your application workflow.

## Contribution

Special thanks to [Metkoul](https://github.com/Metkoul) for their contributions to this project.

## License

This project is licensed under the [MIT License](LICENSE).