Ayurveda & Wellness Regulation Assistant
Agents that answer questions by retrieving the right information and responding conversationally, in the right language.
Background
Small Ayurveda manufacturers and startups struggle to understand which regulations — AYUSH licensing, labeling rules, IP protection for traditional formulations — apply to them. Legal consultation is expensive, and government documents are dense and mostly available only in English or formal Hindi.
Objective
Develop a multilingual AI assistant that answers questions about Ayurveda product regulation, licensing, and intellectual property — grounding every answer in a cited source document, never a guess.
Key Features
1. Conversational Q&A over regulation/licensing/IP documents 2. Source citation attached to every answer 3. Multilingual support (minimum English + 1 Indian language) 4. Confidence flagging — tells the user when it isn't sure 5. Query classification (licensing / labeling / IP / other) 6. Simple chat-style interface (web or WhatsApp-style)
Expected Solution
A retrieval-augmented chatbot backed by a document vector store A query-understanding layer that classifies intent and language A citation-grounded response generator (answers only from retrieved chunks) A translation layer for multilingual output
Suggested Technology Stack
Backend: Python / FastAPI Retrieval: LangChain or LlamaIndex + ChromaDB / FAISS LLM: Open-weight (Llama 3, Mistral) or hosted API (Claude, GPT) Translation: Google Translate API / IndicTrans2 Frontend: Streamlit / React
Expected Outcomes
Faster, cheaper access to regulatory clarity for small manufacturers Reduced dependence on paid legal consultation for basic questions A reusable RAG pattern applicable to other regulated domains
Possible Use Cases
Startup founders checking licensing requirements before product launch Manufacturers verifying labeling compliance Researchers checking IP protection status for traditional formulations
Evaluation Parameters
Answer accuracy and grounding (no hallucination) Citation quality and traceability Multilingual coverage UX clarity and response latency