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InfoSys-SpringBoard Interns Fashion-Ecommerce-Project

Project Overview

This project is a Fashion E-Commerce Website, designed as part of my internship project. It is a fully functional e-commerce platform with core features such as product browsing, user authentication, shopping cart management, order processing, and admin analytics. The theme of the website is centered around fashion, offering users a seamless and engaging shopping experience.

Technologies Used

  • Python: Backend development.
  • Flask: Web framework to build the web application.
  • SQLAlchemy: ORM (Object-Relational Mapping) for managing database with SQLite.
  • SQLite3: Database for storing user information.
  • HTML/CSS: For frontend pages.
  • JavaScript: For dynamic page elements and client-side validation.

Setup Instructions

  1. Clone the repository:

    git clone https://github.com/ShudarsanRegmi/InfoSys-SpringBoard-Fashion-Ecommerce-Project.git
cd InfoSys-SpringBoard-Fashion-Ecommerce-Project

  2. flask db init is used to initialize the migration:

       flask db migrate

    above command is used to create the migration -m flag is used with this command to add the message for example -

       flask db migrate -m "Initial migration"

  3. upgrade the database:

       flask db upgrade

    the above command is used to apply the migration

  4. Downgrade the DataBase

    flask db downgrade

    the above command is used to revert the migration

Features

User Features:

  • Home Page: Displays featured and trending fashion items.
  • Product Catalog: Filter and search for products by category, size, and price.
  • Product Details: Detailed descriptions, multiple images, and reviews.
  • Shopping Cart: Add, update, and remove items before checkout.
  • Order Processing: Secure checkout and order confirmation.

Admin Features:

  • Inventory Management: Add, update, and delete products.
  • Order Tracking: View and manage user orders.
  • Sales Analytics: Visualizations using Matplotlib for sales trends and inventory analysis.

Tech Stack

The project leverages the following technologies:

  • Frontend:

    • HTML
    • CSS
    • JavaScript

  • Backend:

    • Python (Flask Framework)

  • Data Visualization:

    • Matplotlib (for generating sales and inventory visualizations)

  • Database:

    • SQLite (or any lightweight relational database)

Installation

Prerequisites:

Ensure you have Python 3.x installed along with the required libraries.

Steps:

  1. Clone the repository:

    git clone https://github.com/ShudarsanRegmi/InfoSys-SpringBoard-Fashion-Ecommerce-Project.git
cd InfoSys-SpringBoard-Fashion-Ecommerce-Project

  2. Install dependencies:

    pip install -r requirements.txt

  3. Run the application:

    python app.py

  4. Open your browser and navigate to:

    http://localhost:5000

Usage

  1. Browse Products: Explore the catalog and view product details.
  2. Add to Cart: Add desired products to the shopping cart.
  3. Checkout: Complete the checkout process securely.
  4. Admin Dashboard: Analyze sales trends and manage inventory.

Project Screenshots

  • will be added

Future Enhancements

  • Implement user profiles and purchase history.
  • Add AI-based product recommendations.
  • Integrate with third-party payment gateways.
  • Support for coupons and discount codes.

License

This project is licensed under the MIT License.

Acknowledgments

  • Mentors: For guiding us through the project development.
  • Resources: Flask Documentation, MDN Web Docs, Matplotlib Tutorials.
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