Challenge

Our client has included FortySeven in the artificial intelligence-based SDK development. Regarding the software development group, data related to user activities goes to a neural network. The latter analyzes self-learning information and its further use in artificial intelligence applications, such as flight planners or personal organizers. To ensure the achievement of the SDK, the quality of learning turns out to be the main objective. For this purpose, the client asked FortySeven to create a data analysis tool that can collect information on user hobbies, excursions, driving speed, or even mood swings. By gathering the maximum information, SDK-based solutions will easily plan the day or trip, choose the right music for an effective or relaxing workout, influence luxury, and boost morale. We've created the task of creating a tool to analyze what was happening to users.

The features included:

• Before providing the artificial neural network with the self-scan source, the application is installed on mobile devices with the prior approval of the users
• While busy working, shopping, or spending time at home, the user activity analysis tool monitors their behavior and snaps photos of them from time to time to track mood swings
•  The app works in the background collecting information based on a sample of 400-500 people and sends it to the server for follow-up training
• An app’s user can pick out the object by scanning a barcode or QR code