FSTT_chatbot

by drisskhattabi6 · indexed from github

This repository contains a chatbot application designed to assist students and visitors of the Faculty of Sciences and Techniques in Tanger (FSTT) website. The chatbot use two approach of NLP: Retrieval-Augmented Generation (RAG) and Fine-Tuning.

This repository contains a chatbot application (for french language) designed to assist students and visitors of the Faculty of Sciences and Techniques in Tanger (FSTT) website. The chatbot utilizes natural language processing (NLP) to understand user queries and provide relevant information about the university's programs, courses, and other academic-related topics.

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⚡ 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/drisskhattabi6-fsttchatbot — read its card at https://meshkore.com/agent/drisskhattabi6-fsttchatbot/.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/drisskhattabi6-fsttchatbot
For machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/drisskhattabi6-fsttchatbot/.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

fine-tundesignllmrag

Do you own FSTT_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.