Passionate builders using AI to make nutrition accessible for everyone.
Co-Founder & AI Engineer
Specialises in computer vision, model fine-tuning, and deep learning. Trained the custom 80-class Indian food model and built the 3-model ensemble pipeline.
Co-Founder & Full-Stack Developer
Expert in Flask, REST APIs, and modern frontend design. Built the entire NutriVision web application, UI/UX, and API integrations.
Co-Founder & AI Engineer
Focused on AI-driven nutrition analysis and intelligent recommendation systems. Passionate about using machine learning to improve health awareness and decision-making.
We believe that understanding what you eat should be simple, instant, and free. NutriVision combines state-of-the-art computer vision with the world's best open-source LLMs to make nutrition analysis as easy as taking a photo. Our focus on Indian food — a severely underrepresented domain in food AI — is what sets us apart.
Food-101 dataset — 101 international food categories, primary classifier.
34 specialised Indian & Western food classes — second classifier layer.
Fine-tuned in-house on rare Indian regional dishes. Covers Adhirasam, Ghevar, Ariselu & 77 more.
Via OpenRouter — fast, accurate nutrition data and personalised health insights.
Python Flask backend running on CUDA T4 GPU for fast vision inference.
Responsive, animated UI with CSS animations, Syne font, and dark theme.
Covers 80+ regional Indian specialties that most food AI completely misses — from Rasmalai to Pootharekulu.
Running 3 independent classifiers simultaneously and picking the best confidence result — not just a single model.
Every report is tailored to your age, gender, BMI, dietary preference, and health condition.
Vision models run on GPU; LLM is handled by OpenRouter cloud — balanced resource usage on T4.
Experience the future of AI food analysis — free, fast, personalised.
Start Analyzing Now →