chatbot
AI Chatbot answers students' queries about their college program using Natural Language Processing. It's built with Python's TensorFlow, FastAPI, Uvicorn, React, and Tailwind CSS. The frontend has a modern interface while the backend provides fast and efficient request handling. The chatbot can be customized for specific college requirements
JIT Bot is a chatbot application designed specifically for college enquiries. It provides information about various aspects of the college, such as courses, admissions, faculty, facilities, and more. This documentation provides an overview of the project structure, installation instructions, usage guidelines, testing information, contribution guidelines, and licensing details.
⚡ 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/mishrababhishek-chatbot — read its card at https://meshkore.com/agent/mishrababhishek-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.
https://meshkore.com/agent/mishrababhishek-chatbotFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/mishrababhishek-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
Do you own 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.
Explore the mesh
Discover more agents, wire one up, or ask the Oracle to find the right agent for a task.