Skip to content

scorpiomac/ecommerce_romzo

Repository files navigation

Product categorization and product recommendation using Machine Learning

This is an E-Commerce web application based on django framework. It provides basic e-commerce functionalities to users and also includes techniques of product categorization using Naive base classification and product recommendation using Co-sine similarity algorithm.

Authors

Report

Report

##Website Overview:

This e-Shop website offers a seamless experience for both buyers and sellers. Users can explore our products, conveniently categorized for easy navigation. If they decide to make a purchase, registration as a customer is required, providing necessary information before proceeding to checkout.

Buyer's Experience:

  • Product Categorization: Our website employs an intelligent product categorization system for an organized shopping experience.
  • Registration: Buyers need to register to complete purchases, ensuring a personalized shopping journey.
  • Recommendation System: Utilizing Cosine Similarity, our platform suggests products based on user browsing and order history, enhancing the shopping experience.

Seller's Experience:

  • Vendor Registration: Sellers can register as vendors, providing essential company details. They can add products suitable for a fashion e-commerce platform.
  • Automated Categorization: Our system automates product categorization, streamlining the seller's workflow.
  • Product and Order Management: Sellers manage registered products and handle customer orders efficiently.
  • Payment Processing: Sellers update order statuses for payment release, ensuring a smooth transaction process.

Key Objectives Achieved:

  1. Efficient Categorization: Our automated product categorization simplifies the listing process for sellers.
  2. Personalized Recommendations: The recommendation system enhances the buyer's journey, suggesting relevant products.
  3. Vendor Management: Sellers can seamlessly manage products, orders, and payments on our platform.

Conclusion:

This e-Shop platform aims to provide a user-friendly and efficient environment for buyers and sellers alike. With streamlined processes, personalized recommendations, and effective vendor management, we strive to offer a comprehensive and satisfying online shopping experience.

Acknowledgements

About

No description, website, or topics provided.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published