agentic-ai-for-personalized-course-pathways
Final project for the IBM SkillsBuild Internship – Agentic AI solution for recommending personalized course pathways based on user interests, skills, and career goals. Includes the final presentation in PDF format.
This project addresses Problem Statement No. 12 from the IBM SkillsBuild Internship, focused on developing an Agentic AI solution that recommends personalized learning pathways for students. The agent understands user interests, academic background, and career goals to guide them toward suitable upskilling resources.
⚡ 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/rohithakavala-agentic-ai-for-personalized-course-pathways — read its card at https://meshkore.com/agent/rohithakavala-agentic-ai-for-personalized-course-pathways/.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.
https://meshkore.com/agent/rohithakavala-agentic-ai-for-personalized-course-pathwaysFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/rohithakavala-agentic-ai-for-personalized-course-pathways/.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 '{ ... }' Capabilities
Do you own agentic-ai-for-personalized-course-pathways?
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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