AI
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
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