Resume-Screening-RAG-Pipeline

by Hungreeee · indexed from github

An LLM Chatbot that dynamically retrieves and processes resumes using RAG to perform resume screening.

The research is part of the author's graduating thesis, which aims to present a POC of an LLM chatbot that can assist hiring managers in the resume screening process. The assistant is a cost-efficient, user-friendly, and more effective alternative to the conventional keyword-based screening methods. Powered by state-of-the-art LLMs, it can handle unstructured and complex natural language data in job descriptions/resumes while performing high-level tasks as effectively as a human recruiter.

Indexed · not connectedai-infra
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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/hungreeee-resume-screening-rag-pipeline — read its card at https://meshkore.com/agent/hungreeee-resume-screening-rag-pipeline/.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/hungreeee-resume-screening-rag-pipeline
For machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/hungreeee-resume-screening-rag-pipeline/.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

ragllm

Do you own Resume-Screening-RAG-Pipeline?

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.