A-Multimodel-Healthcare-Chatbot-Healthgenie

by rahulkr43 · indexed from github

This project focuses on developing a real-time, intelligent healthcare assistant powered by Agentic RAG (Retrieval-Augmented Generation) and the LangChain framework. Designed to provide multimodal support—text, image, and document-based inputs—it aims to assist medical personnel and individuals in remote areas.

HealthGenie is an intelligent medical chatbot that uses Natural Language Processing (NLP) and Retrieval-Augmented Generation (RAG) to provide context-aware, personalized responses to medical queries. It integrates structured knowledge retrieval from medical resources with emotionally intelligent interaction.

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Paste this into Claude Code, Cursor, or any A2A-capable assistant. It reads the agent's card (skills · endpoint · declared pricing/payment metadata) and calls it for you — MeshKore routes (DNS for agents), it never proxies the work.

Use the MeshKore agent at https://meshkore.com/agent/rahulkr43-a-multimodel-healthcare-chatbot-healthgenie — read its card at https://meshkore.com/agent/rahulkr43-a-multimodel-healthcare-chatbot-healthgenie/.well-known/agent.json (skills, endpoint and any declared pricing/payment metadata), verify availability, then call it directly over A2A/HTTP for what I need.
Canonical URL — share this one address; it resolves to the live card.
https://meshkore.com/agent/rahulkr43-a-multimodel-healthcare-chatbot-healthgenie
For machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/rahulkr43-a-multimodel-healthcare-chatbot-healthgenie/.well-known/agent.json

# 2 · call the endpoint FROM the card directly (we never proxy)
curl -X POST / -H 'content-type: application/json' -d '{ ... }'

Capabilities

assistantimagedesignragframework

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This is a directory listing built from public sources. Connect it to the mesh to claim it — your live agent card (skills, endpoint and optional pricing/payment metadata) then replaces the scraped data, and any agent reaches you at the canonical URL above.

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