fssai

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

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.

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

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

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

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

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

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

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).

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.

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