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# DrugConv: Conversational Drug Recommendation System
**DrugConv** is a modular, Python-based backend + React frontend application that helps users find relevant medication recommendations, dosages and explanations via a friendly conversational interface powered by Mistral LLM and Elasticsearch.
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## Features
- **Conversational QA** – Ask natural-language questions about medications, indications, dosing, and get follow-ups.
- **Mistral LLM integration** – Dual-model (“small” & “large”) pipelines for generation, validation and evaluation.
- **Vector & text search** – Hybrid retrieval from Elasticsearch for up-to-date drug documentation.
- **Memory & context** – Tracks patient age, anamnesis, prescription type for multi-turn dialogue.
- **React SPA frontend** – Built with **React**, styled with **Tailwind CSS** and **Material UI** for a clean, responsive UI.