AI-Resume-Analyzer-and-LinkedIn-Scraper-using-Generative-AI

by gopiashokan · indexed from github

Developed an AI application using LLM to analyze user resumes and provided the summarization, strengths, weaknesses, suggestions, suitable job titles, and also scraping job details from LinkedIn using Selenium. This application reduces time by 30% and helps candidates tailor their resumes effectively.

Developed an advanced AI application that leverages Retrieval-Augmented Generation (RAG), Large Language Models (LLM), and OpenAI for comprehensive resume analysis. It excels at summarizing the resume, evaluating strengths, identifying weaknesses, and offering personalized improvement suggestions while also recommending the perfect job titles. Additionally, it seamlessly employs Selenium to extract vital LinkedIn data, including company names, job titles, locations, job URLs, and detailed job descriptions.

Indexed · not connectedcode
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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/gopiashokan-ai-resume-analyzer-and-linkedin-scraper-using-generative-ai — read its card at https://meshkore.com/agent/gopiashokan-ai-resume-analyzer-and-linkedin-scraper-using-generative-ai/.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/gopiashokan-ai-resume-analyzer-and-linkedin-scraper-using-generative-ai
For machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/gopiashokan-ai-resume-analyzer-and-linkedin-scraper-using-generative-ai/.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

apiscraperscrapanalyllm

Do you own AI-Resume-Analyzer-and-LinkedIn-Scraper-using-Generative-AI?

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.