How to implement Stripe without going mad

Architected a polyglot e-commerce platform integrating a React/RTK frontend, a Node.js backend, and a Python ML microservice. The platform's core is a hybrid, real-time recommendation system using Redis and pre-computed models to provide instant, personalized suggestions. The system is built for production with Stripe, AWS S3 & robust security

SHOPNEST is a stylish ecommerce website for fancy ladies' shoes, built with the MERN Stack. It offers a smooth shopping experience with features like product recommendations, voice search, and secure Stripe payments. Easy to use for both shoppers and admins.

The application has 2 roles: a patient and a doctor. Doctors can manage their schedule and recommendations. Patients can book doctor appointments and pay for them using Stripe. The highlight of the project is the schedule management and its UI. Live Demo: https://doc-maklore.koyeb.app

A minimal eCommerce project built with React and Vite, showcasing advanced frontend technologies like JWT/OAuth authentication, Stripe payment integration, state management with Redux, lazy loading, AI product recommendations, and optimized performance with code splitting and caching.

A Flask-based multi-user e-commerce app for grocery management featuring CRUD APIs, RBAC authentication, Stripe and Twilio integrations. Diverse functionalities for Customer, Admin, Store Manager, Delivery Executive, and Developer roles, including order placement, inventory management, scheduled emails, recommendations, and user-specific operations

A full-stack travel booking platform built with React, Node.js, Express, and MongoDB. Features AI-powered trip recommendations, secure payments via Stripe, and email verification.

A full-stack Travel Management System built with Next.js 15, featuring role-based access control, Elasticsearch-powered search, Neo4j personalized recommendations, Stripe payments, and Progressive Web App support

Built multi-vendor e-commerce platform using Spring Boot, React, and PostgreSQL with JWT authentication and role-based access control.ntegrated Stripe payments, real-time cart management, admin dashboard, and AI-powered recommendations. Deployed on AWS.

A mobile application for eyewear with virtual tryon functionality and recommendation system.The user can try different pair of glasses virtually and also can buy them through online payment(stripe). The app suggests users the pai of glasses which can suit them best based on face classification algorithm.

Inspired by https://github.com/t3dotgg/stripe-recommendations

An online thrift store with AI-powered outfit matching, personalized recommendations, real-time bidding/chat, notifications & gamification to boost engagement, JWT authentication, Gmail integration, Stripe payment, and a RAG-based Gemini chatbot for styling advice.

AI-powered repair diagnostics platform. Upload images, get analysis and repair recommendations. Built on Firebase + Vertex AI with Stripe billing.

Smart LMS – MERN Stack e-learning platform with JWT auth, Stripe payments, course management, and AI-inspired recommendations. Responsive React frontend & secure Node.js backend.

Created an AI-powered travel companion iOS app using Swift and SwiftUI. Implemented intelligent recommendations with OpenAI, secure payments via Stripe, real-time Firebase sync, and responsive design to enhance travel experiences.

"Full-stack E-Commerce project (React+typescript+tailwin + DRF) with AI features via Gemini: JWT auth, product management, cart & orders, Stripe payments, AI product descriptions, chatbot, recommendations, reviews, Dockerized deployment, and API documentation."

The Agriculture Portal is an AI-driven platform providing crop predictions, fertilizer recommendations, disease detection, and direct crop sales with Stripe integration. It also includes a chatbot, weather forecast, and agriculture news features.

Team-based fintech analytics project usingTableau to evaluate CredPal’s consumer spending and saving patterns. We applied predictive insights to assess credit scalability and guide Stripe’s investment decisions through data-driven recommendations.

An advanced e-commerce platform built with Django, featuring robust coupon management, seamless Stripe payments, background task processing with RabbitMQ and Celery. Harnessing the power of Redis for efficient caching and lightning-fast recommendations.

Modern, animated, and responsive e-commerce frontend built with React and Tailwind CSS. Seamlessly integrates with a custom backend to provide user registration, product browsing, shopping cart, Stripe checkout, invoice generation, and AI-powered product recommendations.

ASP.NET Core Web API for customizable apparel e-commerce with JWT/Google OAuth authentication, Stripe payments, Redis cart/wishlist, product reviews, order management, and ML logo recommendations. Clean Architecture with Repository pattern, EF Core, and MSSQL.

Full-stack e-commerce platform built with React Native, Next.js, Node.js, and a complete microservices architecture powered by Kafka, Redis, Prisma, and MongoDB. Includes real-time chat, AI-powered recommendations, an admin dashboard, Stripe payments, and a highly scalable event-driven backend.

E-commerce website made with Django web framework, for businesses to list and sell products online. Users can filter and sort products, add to cart, and checkout with either online payment using stripe or cash on delivery. It also has product recommendations and an admin panel with charts.

NexBuy is a next-gen e-commerce platform built with React.js, Node.js, Stripe, and Redis for a fast, secure, and intuitive shopping experience. It offers smart recommendations, streamlined navigation, and a responsive design across devices. With NexBuy, discover tomorrow's shopping today with ease and confidence.

• Designed a hotel recommendation platform, complete with registration, login, like/dislike features and seamless Stripe payment gateway for easy and secure hotel bookings. Utilized MongoDB, Cloudinary, and Mapbox for database, image storage, and location display respectively.

OSHEN COMICS is a feature-rich e-commerce platform designed for comic book fans. It allows users to browse, shop, and pay for comic books and related merchandise using M-Pesa and Stripe payment methods. It supports intelligent product recommendations, promotional tools like coupon codes and countdown deals, and efficient cart handling with Redis.

Full-stack e-commerce platform built with MERN stack, Redux Toolkit, Material UI, and Stripe. Features include dual authentication (Passport local and Google Auth), automated email receipts, product reviews, and a recommendation system using TF-IDF and cosine similarity. Optimized with Redis for performance.

AutoVault is a real-time vehicle bidding app built with MERN, Redux, Socket.io, Stripe, S3, and Python (NLTK). Users can auction and buy cars online hassle-free. It also features an NLP-powered recommendation system that analyzes market trends to help users make informed purchase decisions.

An advanced online shopping app developed using Reactjs and real-time Firebase. This feature-rich application boasts a user-friendly interface, seamless payment integration with Stripe, a powerful recommendation system driven by machine learning, a responsive chatbot, voice search capabilities, and map integration for effortless location selection.

AI-powered shoe shopping assistant with personalized recommendations, bulk ordering, Stripe payments, and 360° product views