AI Restaurant Discovery App for Dietary Preferences
An AI restaurant discovery app that matches diners to places by diet, taste and location.
- Industries
- Built with
- Flutter
- React
- Node.js
The project
A mobile-first restaurant discovery platform that connects people with places to eat that match their dietary needs, lifestyle choices and location. Instead of scrolling generic listings, users filter by what they can and want to eat, and AI recommendations adapt to their tastes over time. A map and location-based search show suitable restaurants nearby, with business listings and customer reviews to help them decide. The first release was scoped as an MVP focused on core discovery, built to scale. We built the app in Flutter, with a React web panel and a Node.js back end.
The challenge
- People with specific diets spent too long checking menus to find somewhere they could actually eat.
- General restaurant listings ignored personal tastes and lifestyle choices.
- Choosing quickly on the go was hard without location-aware, trustworthy information.
What we built
- Smart filters for dietary needs and lifestyle preferences across restaurant listings.
- AI recommendations that adapt to each user's tastes and past choices.
- Location-based search with an integrated map of suitable restaurants nearby.
- Business listings and customer reviews to support each decision.
- An MVP architecture planned for later features and growth.
Key features
Dietary filters
Users filter restaurants by diet and lifestyle preferences.
AI recommendations
Suggestions adapt to each user's tastes over time.
Nearby on a map
Location-based search shows matching restaurants on a map.
Restaurant listings
Each listing gathers the details a diner needs before choosing.
Customer reviews
Reviews from other diners help users pick with confidence.
AI assistance
An AI assistant helps users narrow down where to eat.
