AI-Driven GIS Mobile App
to automate bicycle quests
Results
Partner's Profile
Background
The customer (NDA protected) organized cycling and hiking photo quests all over the world. The creation of each quest was preceded by a long labor-intensive preparation of paper cards with tasks. The organizers developed their own AI image recognition model and needed a contractor to implement this model into the application and digitize the games.
Goal
To develop a mobile app for players of the sports and entertainment game — photo quests. The app should help players to pass photo tasks from the quest due to the built-in image recognition algorithm.
Solution
Our team and the partner's developers implemented a user-friendly mobile application for Android. It allows players to quickly complete photo quest tasks along various routes. Being in the desired location during the game, according to the photo task, the player points the camera of his smartphone at the desired object. If the app recognizes the object, the task is successfully completed.
This mobile app also greatly simplified the game creation process.
Technologies
Backend
Java, Android SDK
Frontend
JavaScript, jQuery, HTML5
Integrations
PostgreSQL, Celery
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Need a project estimate?
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