CalScanner is an AI-powered mobile application designed to simplify nutrition tracking, developed by 14-year-old developer Zeus1k. Instead of manual logging, simply take a photo of your meal, and the app will analyze its content for you.
- Visual AI Recognition: Integrated with the Qwen AI API to identify food items directly from images.
- Nutritional Insights: Automatically calculates calories, proteins, fats, and carbohydrates for every recognized dish.
- Cross-Platform: Built with .NET MAUI, providing a seamless experience on both Android and iOS.
- Clean Architecture: A well-structured C# codebase designed for high performance and easy updates.
- Language: C#
- Framework: .NET MAUI
- AI Integration: Qwen API
- Tools: Visual Studio
If you like this project and want to support its development, you can send a donation here:
- DonationAlerts: https://www.donationalerts.com/r/zeus1k1402
This project is open-source and available under the MIT License. Feel free to explore the code and use it for your own purposes.