- Project
- 02
- Category
- E-Commerce / AI
- Period
- Mar 2026
VyaparIQ
AI-Powered Smart Shopping Assistant
Overview
A full-stack AI-powered e-commerce platform featuring budget tracking, spending analytics, and a Gemini-powered multilingual chatbot.
- 01
Engineered a full-stack AI-powered e-commerce platform with React, Node.js, Express.js, FastAPI, PostgreSQL, and Redis.
- 02
Implemented budget tracking, spending analytics, product catalog, personalized recommendations, and deal comparison.
- 03
Integrated Gemini-powered chatbot, camera product scanning, Google OAuth, and English, Hindi, and Hinglish support.
Problem
Users struggle to track budgets and compare deals dynamically across multiple platforms while navigating language barriers in e-commerce.
Approach
- 01
Developed a unified shopping platform where budget constraints drive personalized recommendations.
- 02
Integrated a Gemini-powered chatbot that supports conversational commerce in English, Hindi, and Hinglish.
- 03
Implemented product scanning via camera for quick discovery and comparisons.
- 04
Architected a scalable backend using Express.js and FastAPI, with PostgreSQL for relational data and Redis for caching.
Architecture
- 01FrontendReact.js + Google OAuth
- 02Core APINode.js / Express.js for business logic
- 03AI ServicesFastAPI + Gemini for chatbot & recommendations
- 04PersistencePostgreSQL for products & users, Redis for caching
- 05DeploymentDocker + Google Cloud Run
Technology
- React.js
- Node.js
- FastAPI
- PostgreSQL
- Redis
- Google Cloud Run
- Firebase
Project details
Details available on request.
Gallery