NutriSnap v1

Eat smart. Live better

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Inspiration

In India, thalis are daily staples of millions of families — but involuntarily in unbalanced ways. Too much oil, less protein, and practically no nutritional consciousness. This silently fuels diabetes, obesity, and child malnutrition. Majority of such nutrition apps suggest Western-type salads and quinoa bowls that do not match local culture. We embarked to build a product that is aware of our kitchens, our plates, our languages.

What it does

NutriSnap AI is a web application that allows users to monitor and make sense of their nutrition in an easy-to-understand visual format:

  • They input a photo of a dish, and a computer automatically recognizes it.
  • Estimates of calorie and macronutrient (carbohydrates, proteins, fats) content are given by.
  • Upon registration, a user's customized daily calorie restriction is determined through BMR (Basal Metabolic Rate) and activity status.
  • All scans are saved into a personalized timeline of calories/macros against a clock and daily goal progress.
  • All user details are encrypted and kept confidential under their ID.

How we built it

  • Frontend: Designed a responsive signup page, photo upload page, and nutrition timeline page.
  • Central Logic: Incorporated food identification and nutrition approximation using an AI-powered backend workflow designed for Indian cuisine.
  • Backend: Built-in user login and secure data storage, calorie objectives and eating records stored per user account.

Challenges we ran into

  • Identifying mixed Indian thali pictures containing various foods on a single plate.
  • Keeping nutrition estimates constant in diverse Indian recipes.
  • Designing a timeline UI that is both simple and engaging.
  • Facilitating an easy setup of calorie-goals from BMR calculations.

Accomplishments that we're proud of

  • Built a working MVP that integrates images of plates to AI-backed nutritional information.
  • Automatic daily calorie setting through BMR, so tailored from day zero.
  • Created a date-based journal system that makes it easy to keep track of nutrition. Shown how NutriSnap AI could be an India-first nutrition guide that is culturally appropriate, scaleable, and applicable to real-life situations.

What we learned

  • Technical: Proper prompt design and backend workflows are crucial to regular food recognition.
  • Consumer Understanding: Personalized calorie targets are more interesting than unlabelled defaults.
  • Product Insight: Basic timelines and diaries make users think about their eating and keep them disciplined.

What's next for NutriSnap

  • Healthier alternatives of Indian-diet compatible foods.
  • Local menu recommendations in healthy diets.
  • Offline guides to cheap healthy eating.
  • Voice-assistant access for low-literacy users.
  • Offline database of Indian daily foods.
  • Multi-user tracking family plans.
  • Interoperability across wearables to view real-time activity and nutritional information.
  • Collaborations with school networks, Anganwadis, and NGOs for adoption by community.
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