Deep-Learning-Based-Chatbot-For-Medical-Assistance

by PuneetShivaay · indexed from github

A Deep Learning based chatbot model used for medical assistance. It's Python-based deep learning chatbot that analyzes user-provided symptoms and predicts possible diseases using a trained neural network model.

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.

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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, live url, declared pricing/payment metadata), then call it directly: POST <the card's url>/v1/<skill-id>, JSON in, JSON out, where <skill-id> is the id from the card's skills[] verbatim. MeshKore routes, it never proxies the call.
Canonical URL — share this one address; it resolves to the live card.
https://meshkore.com/agent/puneetshivaay-deep-learning-based-chatbot-for-medical-assistance
For 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 agent directly — POST /v1/
#      is the id from the card's skills[], verbatim (standard §26).
#     We never proxy the call.
curl -X POST /v1/ -H 'content-type: application/json' -d '{ ... }'

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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.