Flask E-Commerce with Recommendation System

A web-based e-commerce application built with Flask, featuring a recommendation system for fashion products.

Demo

Overview

This Flask-based web application provides users with a platform to browse and purchase fashion products online. The application incorporates a recommendation system that suggests fashion items based on user preferences .

Installation

1. Clone the repository:

   git clone https://github.com/yusufM03/Fashion_Recommendation_system_WebAPP/

2. Install dependencies:

   cd your-repository
   pip install -r requirements.txt

Usage

1. Start the Flask server:

   python aps.py

2. Open your web browser and navigate to http://localhost:5000 to access the e-commerce website.

Features

• Browse for fashion products.
• Add items to the shopping cart and calculate the total
• Integration of a recommendation system to suggest fashion products available based on user input product.

Technologies Used

• Flask: Micro web framework for building web applications in Python.
• HTML/CSS/JavaScript: Frontend development technologies for creating the user interface and interactivity.
• TensorFlow: Machine learning library used for implementing the recommendation system.(used vgg16 as feature extraction)

File Structure

├── aps.py                  # Main Flask application file
├── templates/              # HTML templates for rendering web pages
│   ├── index.html          # Homepage template
│   ├── product.html        # Product details template
│   ├── cart.html           # Shopping cart template
│   ├── Recommendation.html       # Checkout template
│  
│     
├── static/                 # Static assets (CSS, JavaScript, images)
│   ├── css/                # CSS files
│   ├── js/                 # JavaScript files
│   └── img/                # Image files
├── recommendation.py       # Feature extraction and testing the similarity
└── utils.py                # Utility functions

License

This project is licensed under the MIT License.

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