Inspiration
We wanted to understand Indian food beyond calories and carbohydrates by considering starch, fiber, cooking methods, and food quality.
What it does
GlycoJeevan uses AI to identify a meal, estimate its food-matrix characteristics, generate an Indian Bio-Score, and suggest practical food modifications.
How we built it
We designed a mobile-first system using Vision AI, React/Tailwind, Python/FastAPI, and an Indian food and biochemical database.
Challenges we ran into
Our main challenge was combining complex biochemical factors with AI while keeping the results simple and useful for users.
Accomplishments that we're proud of
We developed a working prototype concept that connects food recognition, biochemical analysis, scoring, and personalized food recommendations.
What we learned
We learned how biotechnology, food science, and AI can be combined to analyze the food matrix and create practical insights.
What's next for GlycoJeevan
We plan to expand the food database, collect response data, validate the model, add regional languages, and develop personalized models.
Built With
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