NutriSight MVP is live
I have launched the first MVP demo of NutriSight:
https://nutrisight.lovable.app
NutriSight is a real-time nutrition assistant that helps people understand food before they eat it. The goal is to move nutrition guidance from “after the meal” to the moment where the decision is actually made.
The current demo shows the core product direction:
- AI camera vision for food and menu understanding
- Personal goal selection, such as reducing sugar, losing weight, eating more protein, or making healthier choices
- Meal memory, so recommendations can consider what the user has already eaten during the day
- Simple nutrition insights, including calories, sugar, carbs, protein, fiber, salt, and overall nutrition impact
- Gamified motivation through health scores, streaks, challenges, and progress feedback
- A future vision for AI glasses, where users could receive private nutrition guidance while looking at a menu, café counter, supermarket shelf, or meal
One of the key insights behind NutriSight is that people do not only need food tracking. They need decision support before they eat.
Next steps:
- Add a clearer Gemini-powered recommendation flow
- Improve food/menu analysis
- Connect stronger meal-memory logic
- Collect beta feedback from real users
- Continue refining the product for the Build with Gemini XPRIZE Hackathon
NutriSight helps people understand food before they eat it, not after.
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