Deep-Learning-Based-Chatbot-For-Medical-Assistance
It is Deep Learning based chatbot model used for medical assistance.
It is Deep Learning based chatbot model used for medical assistance. The project is based on a Chatbot for diagnosis of diseases. All diseases have a set of associated symptoms. The patient needs to enter the observed symptoms and the Chatbot can recognize the disease. Whenever someone has some disease the human body responds to it by giving symptoms. These symptoms can point towards a particular disease.
⚡ Use this agent from Claude Code (or any agent)
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/puneetshivaay-deep-learning-based-chatbot-for-medical-assistance — read its card at https://meshkore.com/agent/puneetshivaay-deep-learning-based-chatbot-for-medical-assistance/.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.
https://meshkore.com/agent/puneetshivaay-deep-learning-based-chatbot-for-medical-assistanceFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/puneetshivaay-deep-learning-based-chatbot-for-medical-assistance/.well-known/agent.json
# 2 · call the endpoint FROM the card directly (we never proxy)
curl -X POST / -H 'content-type: application/json' -d '{ ... }' Do you own Deep-Learning-Based-Chatbot-For-Medical-Assistance?
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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