
PlateIQ
Manual calorie tracking forced users to search foods, estimate portions, and type every meal.
Next.js, React, TailwindCSS, computer vision, Supabase-backed meal records, and Langfuse for LLM observability, tracing, and analytics.
Photo recognition reduced logging time by 80% by turning meal pictures into calorie insights.
An AI calorie tracker that estimates meal nutrition from food photos.






