Mobile application for restaurant signs recognition

Discover the Best Restaurants with Ease

Description

The client approached us with a unique problem in the entertainment industry. They needed a mobile application that could recognize restaurant signs and provide information such as the price category, level of service, quality of dishes, and customer reviews.

Results

Our solution was to use a neural network that works in conjunction with the Yelp database. The prototype was released with a working neural network that accurately led users to the Yelp website based on the photo of the restaurant sign. Currently, we are developing the functionality for the next iteration of the application, which will further improve the user experience and provide more accurate information about nearby restaurants.

Team

Our team consisted of 1 ML engineer, 1 backend developer, 1 mobile app developer, and 1 project manager

Project life

We were able to complete the project within the set timeframe of 3 months

Used technologies

Dart

Flutter

Django

PostgreSQL

TensorFlow

Start a project

JPG, PNG, PDF, DOCX, XLSX (Max 10 MB)

Other projects

Non-profit foundation based in New York that supports contemporary art and education

Startup from the USA

Startup from the USA

Crypto Wallet App

Blockchain, Profit

Startup from Canada

A large American distributor of heat exchange and ventilation equipment

Startup from the USA

Startup from the USA

Mobile app for charity

Blockchain, Non-profit

Privately owned company based in sunny Australia

Startup from the USA

A large cooperative of American ranchers who produce and sell beef

Startup from the USA

Department of Health and Human Services

By continuing to use this website you agree to ourCookie Policy