I spearheaded backend development and contributed to frontend implementation for a community-oriented recipe-sharing social media application. I built a robust, secure REST API using Node.js and Express, designed database schemas with MongoDB, implemented authentication and image uploads, and integrated these features into a React frontend to deliver a seamless, engaging user experience.
Purpose: The goal of this project was to create a social recipe-sharing platform enabling users to discover, share, and interact with recipes. It combines robust backend functionality with intuitive frontend design, fostering community engagement through culinary creativity.
Technology Used:Â
Backend: Node.js, Express, MongoDB, Mongoose, JWT Authentication, Cloudinary
Frontend: React, TypeScript, Tailwind CSS, React Router
Development & Deployment: Git, GitHub
Testing & Security:bcrypt, CORS, Postman
Key Features:
Secure REST API: CRUD operations for user profiles, recipes, authentication
Authentication: User registration/login secured by JWT tokens and password hashing
Cloud Image Storage: Recipe images uploaded and hosted via Cloudinary
Responsive UI: Optimized mobile-first layouts with intuitive navigation
Dynamic Recipe Feed: Search functionality, sorting by latest/trending, and filterable cuisine types
Interactive User Experience: Optimistic UI updates for immediate feedback (likes, saves)
Backend (API):
RESTful endpoints manage recipes, user profiles, and authentication flows.
Mongoose schemas enforce structured, validated data storage in MongoDB.
JWT tokens authenticate users securely, protecting sensitive API routes.
Cloudinary integration handles secure, scalable image uploads.
Frontend (UI Integration):
React components fetch API data dynamically, rendering recipes and user profiles.
State managed via Context API ensures consistent application state and reduces prop drilling.
React Router manages seamless client-side navigation without full-page reloads.
User actions (like, save) trigger instant UI updates with asynchronous backend calls.
Complex Data Handling:
Challenge: Ensuring accurate validation and storage of complex nested data structures (ingredients, instructions).
Solution: Implemented detailed Mongoose validation schemas and extensive Jest testing to ensure reliable data integrity.
Performance Optimization:
Challenge: Slow API response times under load, particularly affecting recipe loading.
Solution: Optimized database queries through MongoDB indexing and implemented cursor-based pagination to enhance response times and scalability.
Front/Backend Synchronization:
Challenge: Frontend and backend data misalignment causing integration issues.
Solution: Developed clear API contracts and unified shared TypeScript interfaces, improving consistency between client-server communications.
Real-time Notifications: Incorporate WebSockets (Socket.IO) for live user notifications about recipe interactions.
Enhanced Search Functionality: Add full-text searching capabilities via MongoDB Atlas Search or ElasticSearch.
Administrative Features: Implement moderation tools and analytics dashboards for managing user-generated content and tracking engagement metrics.
Dark Mode & Personalization: Add customizable UI themes and personalized recipe recommendations based on user activity.
This project significantly enhanced my backend development capabilities, including API design, secure authentication practices, and database management. Additionally, my frontend contributions improved my skills in responsive UI design, React state management, and seamless API integration. Collaborating across both ends of the stack taught me the value of clearly defined API contracts, thorough testing, and proactive performance optimization to create robust, engaging user experiences.