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EATS 2024 - Next.js Food Discovery Platform

A modern food discovery web application built with Next.js, leveraging Supabase, PostgreSQL, and the Yelp API to provide personalized dining recommendations and detailed restaurant information.

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EATS 2024 - Next.js Food Discovery Platform

Project Overview

I developed EATS 2024 as a modern web application designed to enhance the restaurant discovery experience. Built with Next.js and integrated with powerful backend technologies, this project demonstrates my proficiency in full-stack development, API integration, and creating user-centric applications.

Key Features

  • Personalized Restaurant Recommendations: Utilizes user preferences and behavior to suggest tailored dining options.
  • Detailed Restaurant Information: Provides comprehensive details about restaurants, including menu items.
  • User Favorites: Allows users to save and easily access their preferred restaurants.
  • User Profiles: Customizable user profiles to enhance the personalized experience.
  • Secure Authentication: Implements Clerk OAuth for robust and user-friendly authentication.

Technologies Used

  • Frontend: Next.js
  • Backend: Supabase with PostgreSQL
  • API Integration: Yelp API
  • Authentication: Clerk OAuth
  • Styling: Tailwind CSS

Development Process

  1. Planning: Conducted market research and defined the core features of the application.
  2. Architecture Design: Designed a scalable architecture leveraging Next.js for server-side rendering and API routes.
  3. Database Schema: Developed a flexible database schema using Supabase and PostgreSQL.
  4. API Integration: Implemented Yelp API integration for comprehensive restaurant data.
  5. User Authentication: Integrated Clerk OAuth for secure and seamless user authentication.
  6. Frontend Development: Built a responsive and intuitive user interface using Next.js and Tailwind CSS.
  7. Testing and Optimization: Conducted thorough testing and performance optimization.

Challenges and Solutions

  • Data Management: Implemented efficient caching strategies to manage large volumes of restaurant data.
  • Performance Optimization: Utilized Next.js features like Image Optimization and Incremental Static Regeneration to enhance performance.
  • User Experience: Developed a clean, intuitive interface to simplify the restaurant discovery process.

Future Plans

  1. Community Features: Implementing a section for users to share reviews and recommendations.
  2. Advanced Filtering: Developing more sophisticated filtering options based on dietary preferences and cuisines.
  3. Flavor Profile Algorithm: Creating a unique algorithm to provide highly personalized restaurant suggestions.
  4. Mobile Application: Expanding the platform to include a native mobile app for iOS and Android.

Conclusion

EATS 2024 represents a significant step in modernizing the food discovery process. It showcases my ability to work with cutting-edge technologies and create practical, user-focused applications. As an ongoing project, it continues to evolve, incorporating new features and optimizations. This experience has deepened my expertise in Next.js, API integrations, and database management, while also honing my skills in creating scalable, performance-oriented web applications.

I'm excited about the future developments of EATS 2024 and its potential to transform how people discover and engage with dining options in their area.