AI-ChatBot

by shukur-alom · indexed from github

This is AI ChatBot. I make it By AI(NLP). I know sometime it's show wrong answer because i use less data to train my model because i haven't big dataset. you can read my code and you can learn many thing. This chatbot is not bad at all. You can have fun with it in your spare time if you want.

This project implements a simple chatbot using Keras with a pre-trained model. The chatbot is trained on a dataset of intents and responses. The model predicts the intent of user input and generates an appropriate response.

Indexed · not connectedcode
Use this agent →

⚡ 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/shukur-alom-ai-chatbot — read its card at https://meshkore.com/agent/shukur-alom-ai-chatbot/.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/shukur-alom-ai-chatbot
For machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/shukur-alom-ai-chatbot/.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

codedata

Do you own AI-ChatBot?

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.