fssai

Chrome extension that verifies nutrition claims on Indian e-commerce. Open accountability for supplements.

Multi-PDF Research RAG system for semantic search and question answering across research papers using LangChain, FAISS, HuggingFace Embeddings, and Groq.

An AI-powered research assistant for querying and summarising academic PDFs — running entirely on local models via Ollama.

LabelLens: FSSAI nutrition-rating food-label scanner PWA (INR stars, personalization, compliance PDF) — FastAPI + Tesseract

Food safety transparency platform. FSSAI-aligned kitchen scoring, ML risk prediction, consumer dashboard.

This project goes beyond simple chatbots — it implements a full AI Operating System–style architecture with memory, task graphs, agent collaboration, and self-healing execution.

AI agent that detects milk adulteration from lactometer photos, grounded in real FSSAI standards, with human-in-the-loop escalation. Built for the Kaggle 5-Day AI Agents Intensive capstone (Agents for Good track).

Extract structured per-100g nutrition facts from Indian food label images using PaddleOCR. Standalone microservice.

🏷️ PARAKH (परख) — AI-powered food label safety & nutrition intelligence for India. Powered by Gemma 4 via Google AI Studio.

Explore the importance of food safety in India with top YouTube channels for learning and discover trusted creators through IndiTubeDb.

How is a samosa made? An interactive, open-source explainer. Glassbox No. 125.

How is ghee made? An interactive, open-source explainer. Glassbox No. 115.

How is a tadka done? An interactive, open-source explainer. Glassbox No. 151.

Open data on Indian packaged-food labels: added sugar, sugar aliases, salt, and FSSAI/ICMR-NIN warning-label thresholds. By Dev Narsinghani.

Interactive map + searchable ledger of food-safety enforcement news (raids, seizures, closures) across Telangana & Andhra Pradesh, built from a daily-updating news pipeline.