Project Overview
A microservices-based AI platform that analyzes products using real-time data, generates objective recommendations with Gemini AI, and helps users make data-driven purchasing decisions.
System Architecture
Microservices Architecture
Frontend (React)
Backend (Spring Boot)
AI Service (FastAPI + Gemini)
Database (PostgreSQL)
Search → Fetch → Analyze → Recommend
BuySmart AI — Intelligent Product Analysis Platform System Architecture Diagram
Core Features
AI-powered product analysis with Buy Score, pros, and cons
Microservices architecture (Frontend + Spring Boot + AI service)
Real-time product data fetching with caching
JWT-based authentication and secure user sessions
Wishlist with price tracking and history
Fallback system when AI service is unavailable
Interactive dashboard with analytics and insights
6-Stage Pipeline Breakdown
Stage 1
Search
Stage 2
Fetch
Stage 3
Analyze
Stage 4
Recommend
Project Impact
Implements real-world microservice architecture with AI integration
Optimized using caching and containerized deployment
Bridges AI with real-time e-commerce decision systems
Visual Showcase
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