Overview

Calorie AI is an AI-powered food scanning app that instantly calculates calories and tracks nutritional information. Our mission: make nutrition tracking effortless, accurate, and engaging for users.

Challenges

During the development of Calorie AI, Food Scan, one of the most challenging technical issues I encountered was the inconsistency in responses from the OpenAI API when analyzing food images.

When a user uploaded a food photo, the image was sent to OpenAI’s vision endpoint to identify the food and estimate its calorie content. However, the model’s responses were highly variable, even when I sent the same image multiple times, it returned different food names and calorie values on each request.

Solutions

  • AI & Machine Learning Integration:

Implemented advanced computer vision algorithms to detect multiple foods per image with 95%+ accuracy.

  • Intuitive UX/UI Design:

Simplified scanning and logging with clear calorie feedback, visual dashboards, and a user-friendly flow.

  • Robust Backend Architecture:

Built scalable cloud infrastructure to handle high volumes of scans and real-time analytics without delays.

  • Security & Compliance:

Used encryption and best practices to ensure all user data is fully protected.

Results

  • Accuracy:

Achieved 95%+ recognition for diverse food items.

  • User Engagement:

50,000+ daily scans processed within months of launch.

  • App Store Success:

Maintained a 4.8+ rating, reflecting strong user satisfaction.

  • Efficiency:

Reduced manual calorie logging by 80%, making food tracking effortless.

Technologies

React Native & Node js

Industry

Fitness

Country

United States