Flutter & Django: Build a Full-Stack AI E-Commerce App

Production app with BLoC, Stripe payments, CLIP visual search, LangChain AI agent & Firebase push notifications.

What you’ll learn
✓ Build a Django REST backend with JWT auth, Stripe webhooks, Celery tasks and a LangChain AI agent from scratch
✓ Structure a Flutter app using Clean Architecture — Domain, Data and Presentation layers across 8 full features
✓ Implement BLoC state management for every feature including auth, catalog, cart, orders, payments and notifications
✓ A working AI chat agent powered by LangChain and WebSockets
✓ Integrate Stripe payments end-to-end — PaymentIntent, Flutter Payment Sheet, webhooks and refund handling
✓ Integrate Stripe payments end-to-end — PaymentIntent, Flutter Payment Sheet, webhooks and refund handling
✓ Build AI visual search using CLIP embeddings and pgvector with sub-500ms cosine similarity search in PostgreSQL
✓ Create a real-time LangChain AI chat agent over WebSockets that searches products and tracks orders in natural language
✓ Set up Firebase push notifications with Celery Beat — order alerts, price drops, campaigns and quiet hours
✓ Test every backend API endpoint with Postman before writing a single line of Flutter UI code

Requirements
● Basic Flutter knowledge — widgets, setState, navigation and async/await
● Basic Python and Django knowledge — models, views, URLs and the ORM
● Comfort reading and writing JSON and calling REST APIs
● No prior experience needed with BLoC, Clean Architecture, Stripe, LangChain, WebSockets, pgvector or Firebase

Description
What You’ll Build

You will build a complete, production-ready AI-powered e-commerce application from absolute zero — a fully functional fashion shopping app with a Django REST backend and a Flutter mobile frontend.

This is not a toy project. By the end of this course, you will have shipped a real app with a real backend, real payments, and real AI features that most developers have never built before.

The Tech Stack

Backend (Django)

• Django REST Framework with a clean Service Layer architecture

• JWT authentication with SimpleJWT (register, login, token refresh, logout)

• PostgreSQL with pgvector for AI-powered vector similarity search

• Stripe payment processing with webhooks, refunds & payment history

• LangChain + LLM for an AI fashion assistant agent

• Django Channels + WebSockets for real-time chat

• Celery + Redis for async task processing

• Firebase Admin SDK for push notifications

• Image optimization with WebP conversion and thumbnail generation

Frontend (Flutter)

• Clean Architecture — Domain, Data, and Presentation layers fully separated

• BLoC pattern for all state management across every feature

• Retrofit + Dio for type-safe API communication with JWT interceptors

• GetIt + Injectable for dependency injection and code generation

• GoRouter for declarative navigation with auth guards

• Stripe Flutter SDK with Payment Sheet integration

• Firebase Cloud Messaging (FCM) for push notifications

• CachedNetworkImage for performance-optimized image loading

Features You’ll Build End-to-End

Authentication System Complete user registration, login, JWT token management, profile editing, address CRUD, and FCM device token registration — fully tested with Postman.

Product Catalog Category trees, product listings with filtering by price, gender, size, color and rating, product detail pages with variants, wishlist, and a full review system with ratings. Paginated results with search suggestions and filter metadata.

AI Recommendation Engine Trending products with time-decay scoring, similar product recommendations, collaborative filtering for personalized “For You” sections, and Redis-backed caching with automatic refresh.

Cart & Checkout Session-based cart with add, update, remove and clear. Multi-step checkout with address selection, shipping method selection and order placement with stock deduction in a database transaction.

Orders & Tracking Full order lifecycle management — order history, order detail, live tracking timeline, cancellation, return requests, order statistics with a spending chart, and admin status update simulation.

Stripe Payments PaymentIntent creation, Stripe Payment Sheet in Flutter, webhook handling for success/failure/refund events, partial refunds, and full payment history — all tested end-to-end.

AI Visual Search (CLIP + pgvector) Upload any product image and find visually similar items using OpenAI’s CLIP model for image embeddings stored in PostgreSQL with pgvector. Includes HNSW indexing for sub-500ms search performance.

LangChain AI Chat Support Agent A real AI shopping assistant built with LangChain that understands natural language, searches products with hybrid vector + keyword search, looks up orders, and returns product cards inside the chat UI — over WebSockets in real time.

Push Notifications (Firebase FCM + Celery) Order status notifications, price drop alerts, back-in-stock alerts, promotional campaigns, quiet hours settings, per-category notification preferences, and a full notification center with deep-link routing.

Who this course is for
■ Flutter developers who know the basics and want to build a real production-grade app with Clean Architecture and BLoC
■ Django developers who want to add AI features, WebSockets, Stripe payments and a mobile frontend to their skillset
■ Full-stack developers ready to integrate LangChain, pgvector, CLIP visual search and Firebase FCM into a real project
■ Developers tired of toy tutorials who want to build something they can actually put in a portfolio or ship to users

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