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

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

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.

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.

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).