Foodie Junction
Community-driven recipe-sharing platform making cooking inspiration more accessible
Key Features
Recipe Sharing
Easy recipe submission for both guest and registered users with no barriers to entry.
AI Recommendations
Smart ingredient-based recipe suggestions powered by machine learning algorithms.
Nutrition Calculator
Visual breakdown of calories, protein, carbs, and other nutritional information.
Community Features
User profiles, saved recipes, and community engagement without mandatory registration.
Smart Search
Advanced filtering and search capabilities with ingredient-based recommendations.
Responsive Design
Clean, vibrant interface optimized for all devices with Tailwind CSS styling.
Challenge
Existing recipe platforms have ads, confusing layouts, and compulsory registrations. Content overload with poor filtering and personalization, weak community engagement, and lack of offline features create barriers for users seeking cooking inspiration.
Solution
Built a simple, open, user-friendly recipe-sharing platform with community engagement and AI-powered features. Users can browse, post, and view recipes without registration barriers, while AI provides smart recommendations and nutrition analysis.
Research & Discovery
User Interviews
Users want simplicity, quick inspiration, and community connection. Video + visual content preferred over text-only recipes with strong interest in sharing personal food journeys without sign-up hurdles.
Literature Review
Identified gaps in personalization, fragmented user experiences, and poor community features. Found opportunities for better user engagement and accessibility.
Key Insights
Users prioritize simplicity, visual content, and community connection. Barriers to entry should be minimal while providing valuable AI-powered features for enhanced user experience.
User Journey
Homepage
Browse featured and latest recipes
Search & Discover
Find recipes by ingredients or categories
Create Recipe
Submit recipes as guest or registered user
AI Features
Get recommendations and nutrition analysis
Results & Achievements
Key Achievements
- ✅ Built functional, scalable recipe-sharing app with modern design
- ✅ Implemented AI features for recommendations and nutrition analysis
- ✅ Created community-first approach with minimal barriers
- ✅ Developed user-centered design prioritizing simplicity
- ✅ Integrated React + TypeScript for type safety and modular components
- ✅ Built Node.js + Express REST API with JWT authentication
Final Solution
Homepage
Clean, welcoming interface with featured recipes and easy navigation.
Recipe Collection
Browse all recipes with filtering and search capabilities.
Recipe Creation
Easy recipe submission form for both guest and registered users.
AI Recommendations
Smart ingredient-based recipe suggestions powered by machine learning.
Nutrition Calculator
Visual breakdown of calories, protein, carbs, and nutritional information.
User Profile
Personal profile page showing recipes added and saved by the user.
Development Process
Research & Discovery
User interviews and literature review to understand pain points and opportunities in recipe-sharing platforms.
Ideation & Wireframing
Early ideas emphasized inclusivity with low-fidelity wireframes for homepage, recipe form, and AI recommendation engine.
Design & UI
Clean, vibrant, and welcoming design with Tailwind CSS, focusing on user-centered approach and accessibility.
Development
React + TypeScript frontend, Node.js + Express backend, MongoDB database, and AI integration for recommendations.
Testing & Iteration
Continuous manual testing, user feedback collection, and iterative improvements based on community input.