eFinder

eFinder is an application that scans and analyzes the composition of products by ingredients or barcode. It is possible to add allergens to the scanner, which will protect a user. There are more than 1 million products in the database. And if some are missing, a neural network will analyze a text and add a product to the database. The application contains scan history and provides quick access to a stored database.

I have developed the mobile application and the server from scratch. Also, for this project, I create a unique neural network for searching and analyzing the harmfulness of a product. The application is unique in its segment.
During development, I took a lot of time to protect personal data and the quality of the application's workability.