AI Powered Ecommerce Project for Final Year | Spring Boot + React JS + Python AI + Chatbot + Razorpay + Google Maps

 

Modern AI-Enabled Footwear E-Commerce Platform with Chatbot & Image Processing

In today’s AI-driven digital era, online shopping platforms are evolving beyond traditional ecommerce systems. Businesses now require intelligent automation, smart search, and personalized experiences to stay competitive.

This AI Powered Shoe E-Commerce Website is a next-generation full stack project designed for:

👟 Businesses looking to launch a smart footwear store
🎓 Final-year students looking for an advanced AI integrated capstone project

Built using Spring Boot, React JS, Python FastAPI, and MySQL, this platform combines powerful ecommerce features with Artificial Intelligence to deliver a modern shopping experience.

It demonstrates how real-world ecommerce platforms integrate Computer Vision, NLP, and Chatbots alongside core business functionalities.

Introduction:

This AI Ecommerce Platform allows admins to manage products, categories, and inventory; customers to browse and purchase footwear; and delivery personnel to manage deliveries with real-time tracking.

What makes this platform unique is its AI layer that automatically analyzes product images, extracts search intent, and assists users via chatbot.

The system ensures a complete end-to-end workflow:

Admin uploads shoe images → AI detects category and generates title.

Customers search using natural language → NLP extracts intent.

Customers checkout using Razorpay → Admin assigns delivery.

Delivery personnel track location via Google Maps.

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🤖 AI Features (Core Highlight)

This project includes advanced Artificial Intelligence capabilities rarely found in academic projects.

1) AI Image Recognition to detect footwear automatically
2) Automatic product title generation using BLIP model
3) Shoe category prediction using CLIP model
4) Image quality scoring system
5) NLP based search intent extraction
6) AI Chatbot for customer assistance
7) Keyword extraction using KeyBERT
8) Footwear detection using Deep Learning

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⚙️ Technologies Used

Backend - Java Spring Boot

Handles REST APIs, business logic, order processing, Razorpay integration, and communication with AI microservice.

Frontend - React JS

Provides a responsive and interactive UI with dynamic cart updates and real-time user interactions.

AI Service - Python FastAPI

Processes images, performs NLP search analysis, and powers the chatbot.

Database - MySQL

Stores product details, users, orders, payments, and inventory data securely.

Build Tool - Maven

Manages backend dependencies and project builds.

UI Framework - Bootstrap

Ensures modern responsive design across all devices.

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AI Libraries & Models Used

BLIP — Image captioning

CLIP — Image classification

KeyBERT — Keyword extraction

OpenCV — Image processing

PyTorch — Deep learning

FastAPI — AI microservice

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💻 Software Used

Spring Tool Suite / IntelliJ - Backend development

VS Code - Frontend development

MySQL Workbench - Database management

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👥 User Modules

Admin

Adds categories, brands, and shoe sizes.

Uploads product images with AI auto analysis.

Manages inventory, pricing, and reports.

Assigns delivery personnel.

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Customer

Browse footwear by categories.

Search using smart AI search.

Add items to wishlist or cart.

Checkout via Razorpay.

View orders and reviews.

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Delivery Person

View assigned orders.

Track locations using Google Maps.

Update delivery status.

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🌐 External API Integrations

💳 Razorpay Payment Gateway - Secure online payments

🗺️ Google Maps API - Delivery tracking

📧 Email Integration - Order notifications

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🧩 Functional Modules

📂 Category Module — Manage categories

👟 Product Module — Add products with AI detection

📦 Inventory Module — Reports and analytics

💖 Wishlist Module — Save products

🛒 Cart Module — Manage cart

🧾 Order Module — Checkout and tracking

🚚 Delivery Module — Assign and track delivery

⭐ Review Module — Ratings and feedback

🤖 AI Module — Image processing and NLP

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📊 Project Overview

This AI Powered Shoe Ecommerce Website provides a complete enterprise-level solution for running a footwear business online.

It demonstrates how modern ecommerce platforms combine AI automation with traditional commerce features.

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🔹 Key Features

AI powered product analysis
Smart search with NLP
AI chatbot integration
Secure Razorpay payment
Dynamic product sizing
Wishlist and cart for guest + users
Google Maps delivery tracking
Excel inventory reports
Email notifications
End-to-end order management

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🎯 Why This Project Is Perfect for You

👨‍💼 For Businesses

Launch a smart AI powered footwear store with automated product analysis and intelligent search.

🎓 For Final-Year Students

A complete AI integrated full stack project showcasing Computer Vision, NLP, and microservices architecture.

Perfect for major project or capstone submission.

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🖼️ Software Screenshots

Landing Page

Product Page

Cart

Wishlist

Checkout Page

Admin Dashboard

Customer Orders Page

AI Analysis Screen

Chat Bot

Product Image Analysis

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🏁Conclusion

This AI Powered Shoe E-Commerce Website is more than just a shopping platform - it’s a complete intelligent digital commerce ecosystem.

By combining AI automation, modern UI, and scalable backend architecture, this project demonstrates how real-world ecommerce platforms are built today.

Whether you’re a business owner or a student, this project provides valuable insights into building next-generation AI powered applications.

OTHER SPRING BOOT & REACT JS PROJECTS

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12) Multi-Vendor E-commerce Project using Spring Boot & React.

13) Multi Vendor Online Food Ordering Project using Spring Boot & React.

14) Online Job Portal Project using Spring Boot & React.

15) Courier Management System Project using Spring Boot & React.

16) Online Bidding System Project using Spring Boot & React.

17) Online Exam Portal Project using Spring Boot & React.

Students can use this project for learning and can submit the project for their final year or Internship projects.

IF YOU WANT THE PROJECT DO CONTACT ME. 

I will give you the full project SOURCE CODE and I will do a COMPLETE SET-UP of the project on your PC or Laptop remotely.

Or You can simply Request for the Project Source Code & Set Up by clicking on the below button.

Request for Project Source Code

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