The challenge
What needed to be easier.
A food photo is easy to take, but turning it into useful nutritional information requires accurate recognition and an explanation people can understand quickly.
Case study / Computer vision product
Shazam for Food
We built a computer vision app that identifies food from a photo, estimates calories, and highlights key ingredients.
Case study reviewed July 14, 2026
Selected product
Computer vision product
Our approach
How we built it.
We combined a mobile capture flow, computer vision services, and calorie reference data to identify food and present a useful estimate.
Product capabilities
What we brought together.
We only include capabilities that are already public. We do not share client data, private architecture, commercial terms, or internal performance metrics.
Mobile image capture
Food-item recognition
Composition analysis
Calorie estimation
Ingredient labeling
Cloud inference workflow
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