Skip to content
ZQ

Client case study · Mobile app · AI

Diet Analyzer

AI shopping assistant that checks products against your diet

Overview

A mobile app that scans products while you shop, checks them against your dietary preferences and flags incompatible ingredients, with AI-powered personalized recommendations.

The problem

Reading every ingredient list in a store is slow, and people with dietary restrictions or health goals easily miss problem ingredients.

What I built

  • Product scanning that checks ingredients against each user's dietary preferences
  • Instant alerts for incompatible ingredients to encourage healthier choices
  • Personalized diet recommendations powered by the OpenAI API
  • Real-time updates through Firebase push notifications and scheduled cron jobs
  • Express and MongoDB backend with media on AWS S3 and Firebase Storage, hosted on Azure

Available for new projects

Have an idea, a prototype or a product that needs a steady hand?

Notes from the build log

Occasional articles on Next.js, backend engineering and shipping. No spam, unsubscribe anytime.

Protected by reCAPTCHA. Google's Privacy Policy and Terms apply.