Atlanta Food Finder

Developed a full-stack restaurant discovery web application using Django and external API integrations to help users find the top-rated restaurants in the Atlanta area. The app allows users to search by name, cuisine, or location, apply filters, and view detailed restaurant information — providing an intuitive and efficient way to explore dining options. Inspired by Yelp’s design and usability, the platform focuses on delivering a clean, responsive interface that adapts seamlessly across desktop and mobile devices.

The home page serves as the central hub, connecting all main features and enabling quick navigation throughout the site. At its core, the restaurant search functionality empowers users to explore specific restaurants or discover new cuisines based on preferences and ratings. The app integrates Django’s built-in authentication system for secure sign-up and login, while the user profile page allows individuals to update personal information and save favorite restaurants for easy access later.

Core Features

• Restaurant Search – Find restaurants by name, category, or location in Atlanta
• User Authentication – Secure registration and login via Django’s built-in system
• User Profiles – Display personal information and a list of favorited restaurants
• Filtering & Sorting – Apply filters for cuisine type, rating, or location preferences
• Responsive Design – Mobile-friendly layout inspired by modern review platforms
• Favorites Management – Save, view, and manage favorite dining spots

This project emphasizes user-centered design, modular architecture, and efficient data management, showcasing a practical implementation of Django web development and API-driven restaurant search functionality within a real-world use case.