AI Ecom

This is a e-commerce platform build with AI.

This system consist of three parts:

1. Customer End
2. Shop/Admin End
3. Python Backend
   1. Product Recommendation
   2. Customer Segmentation
   3. Business Analysis

Customer End

The customer end is a web application that allows customers to browse products, add them to their cart, and checkout.

Features:

• Browse products
• Add products to cart
• Checkout
• View orders, wishlist, and cart
• View product recommendations
• Fully Customizable and Dynamic Components
• Fully Responsive
• SEO optimized

Shop/Admin End

The shop end is a web application that allows shop owners to manage their products, orders, and customers.

Features:

• Manage products, orders, and customers
• Realtime

Python Backend

The python backend is a python script that runs in the background and performs various tasks created with FastAPI.

Product Recommendation

Architecture Content-Based : TF-IDF Collaborative Filtering : Model Based | Latent factor model (SVD - Singular Value Decomposition) Hybrid version is used by combining these two models in weight CF : BF = 100 : 1

Closed domain, Retrieval based, and multi-class classification chat-bot.

Chatbot

Customer Segmentation

Tech Stack

• NextJS
• TailwindCSS
• Supabase
• FastAPI
• Vercel
• Heroku
• Tensorflow/Keras
• Scikit Learn
• Postman

Installation

Clone the repository

  git clone

Go to the project directory

  cd Ecom-Customer-Shop-End

Install dependencies

  npm install

Start the server

  npm run dev