🛍️ Saree Sansar

AI-Powered E-Commerce Platform with Virtual Try-On

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🎯 What Is Saree Sansar?

Saree Sansar is a full-stack AI-powered e-commerce platform for Indian ethnic wear, featuring a Virtual Try-On system that lets customers see how sarees look on them before buying — using multi-model AI inference (Gemini Vision + Qwen VL).

Stack: Next.js 15 frontend + Python/FastAPI backend + AWS infrastructure — one of the largest codebases in this portfolio (546K+ TS + 126K Python lines).

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✨ Core Features

👗 AI Virtual Try-On

• Upload your photo → see the saree on you instantly
• Multi-model AI pipeline: Gemini Vision + Qwen VL for photorealistic rendering
• Circuit breaker failover — if primary model fails, secondary kicks in automatically
• 90% LLM cost reduction vs. single-provider approach
• Bilingual chatbot (Hindi + English) for styling advice

🛒 E-Commerce Platform

• Full product catalog with filters, search, and recommendations
• Cart, wishlist, order management
• Secure checkout with payment gateway integration
• Order tracking and history

🧠 AI Recommendations

• Personalized product recommendations based on body type, occasion, budget
• Style matching with existing wardrobe
• Trending styles feed

⚡ Production Infrastructure

• AWS S3 + CloudFront CDN for image delivery
• Redis caching for session and product data
• Firebase for real-time notifications
• CI/CD with GitHub Actions

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🛠️ Tech Stack

Layer	Technology
Frontend	Next.js 15 (App Router), React 19, TypeScript
Styling	Tailwind CSS, custom design system
Backend API	Python, FastAPI (async)
AI/ML	Gemini Vision API, Qwen VL, LangChain
Storage	AWS S3, CloudFront CDN
Cache	Redis
Realtime	Firebase
Database	PostgreSQL
Auth	NextAuth.js / Clerk

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🏗️ Architecture

┌────────────────────────────────────────┐
│         Next.js 15 Frontend            │
│   Catalog · Cart · Try-On UI · Chat    │
└───────────────┬────────────────────────┘
                │ API calls
    ┌───────────▼────────────┐
    │   FastAPI Backend       │
    │   (Python, Async)       │
    └───────────┬────────────┘
                │
    ┌───────────▼────────────┐
    │   AI Try-On Engine     │
    │  Gemini Vision         │  ← Primary model
    │  Qwen VL               │  ← Fallback (circuit breaker)
    └───────────┬────────────┘
                │
    ┌───────────▼────────────┐
    │   AWS Infrastructure   │
    │  S3 · CloudFront · RDS │
    └────────────────────────┘

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⚡ Quick Start

# Frontend
git clone https://github.com/Prince8085/saree-sansar.git
cd saree-sansar
pnpm install
pnpm dev

# Backend (in separate terminal)
cd backend
pip install -r requirements.txt
uvicorn main:app --reload

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📊 Performance Highlights

Metric	Result
LLM cost reduction	90% (multi-model vs single)
Try-On generation time	< 5 seconds
Image delivery (CDN)	< 100ms globally
Uptime	99.9% (circuit breaker)

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👨💻 Built By

Prince Khatik — Founder, Innovix Solutions
LinkedIn · Portfolio · GitHub