Real-Time-Recruitment-System-with-AI-and-Data-Analytics
Simulation of job offers and CVs with real-time processing, classification, and analytics using Kafka, Ray, Spark, and Databricks. Includes a Flask-based recommendation system and Tableau visualizations.
In this project, we simulate job offers and CVs using Llama to generate synthetic data, which is sent to Kafka for real-time processing. Afterward, Ray is used for classification of CVs, job offers, and other data. The data is then processed by Spark to extract information in JSON format, which is saved in Delta Tables for further analysis in Databricks.
⚡ 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/hamza88-coder-real-time-recruitment-system-with-ai-and-data-analytics — read its card at https://meshkore.com/agent/hamza88-coder-real-time-recruitment-system-with-ai-and-data-analytics/.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/hamza88-coder-real-time-recruitment-system-with-ai-and-data-analyticsFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/hamza88-coder-real-time-recruitment-system-with-ai-and-data-analytics/.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 Real-Time-Recruitment-System-with-AI-and-Data-Analytics?
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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