AI-powered mobile app development for the weight loss market: Fogyo is an app available on iOS and Android that recognises meals with artificial intelligence and reduces complicated calorie counting to a single percentage value anyone can understand.
The business challenge
In the calorie tracking market, the biggest problem is not user acquisition but churn. A large share of downloaders abandon these apps within a few weeks because they get tired of the constant data entry. Weighing grams, logging macros and digging through food databases takes tens of minutes every day, and few people keep that up for long.
The team behind Fogyo therefore did not want yet another calorie counter. They wanted a mobile application that makes tracking so simple that it becomes part of everyday life. Throughout the mobile app development, every decision came down to one question: how can we remove one more step from the user’s path?
The solution: the percentage method and AI food recognition
The core of the app is the percentage method. The daily budget is shown not in calories but as a single percentage: if 20% is left, the user knows exactly how much still fits into their day. This is complemented by AI integration that takes over the most tiring part of logging.
The main features we delivered during development:
- AI food recognition from photos: the user takes a picture of their plate and computer vision identifies and logs the meal in seconds, with no typing
- Barcode scanning: for packaged foods, scanning the code fills in the nutrition data instantly
- Colour-coded feedback: green means go, red means stop, so decisions require no maths
- Progress tracking: clean charts show how weight and daily budgets evolve over time
- Goals and personalisation: the daily budget adapts to the user’s goals and body data
Technology background
Fogyo was built as a modern cross-platform mobile application, delivering the same experience on iOS and Android. Food recognition is powered by artificial intelligence, an image recognition model that keeps improving with use. The backend runs on cloud infrastructure that scales with the growing user base, and App Store and Google Play releases are supported by automated pipelines.
The results
- Logging time dropped to a fraction of what traditional calorie counters require; recording a meal takes a few seconds
- Thanks to the percentage method and simple visual feedback, users stay with the app long term
- The application has built an organically growing, active user base
- The product provides a stable foundation for rolling out further AI features
Fogyo is a good example of how AI integration can be used in a mobile app to solve real user problems rather than as a marketing gimmick. If you are considering developing a similar application, we are happy to share what we learned from this project.