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ai-recruitment

Here are 16 public repositories matching this topic...

RucRut is an AI-powered recruitment system that streamlines the hiring process by automatically generating interview questions, evaluating candidate responses, and providing real-time feedback. It leverages Natural Language Processing (NLP) to enhance recruitment efficiency for job providers and candidates.

  • Updated Sep 5, 2024
  • HTML

CV Embed is an AI resume analyzer that matches candidates with job descriptions using SBERT/GloVe/Doc2Vec models. Calculates compatibility scores, suggests top job matches, and generates real opportunities. Supports PDF/DOCX uploads with Flask backend and Gemini AI integration.

  • Updated Jul 26, 2025
  • Python

Open-source framework for bias-free candidate evaluation using LLMs. Features 100-point scoring system, dual bias checkpoints, and 8-step asynchronous workflow. Model-agnostic design tested with Claude, GPT, and GLM for evidence-based hiring.

  • Updated Oct 15, 2025

🔒 Proprietary AI Recruitment Suite by Shakeel Qureshi | Automates: sourcing → engagement → screening → retention using LLM/NLP (spaCy, custom models) | TalentSync™, EngageIQ™, FitScore™, TalentRisk™ | Contact: shakeel.techrecruiter@gmail.com

  • Updated Jul 12, 2025

AI Hiring Tool using React, Flask, OpenAI, and Pinecone. Recruiters input a job description, and the app parses it, scores candidate resumes or LinkedIn profiles, and generates tailored interview questions—showcasing AI integration, product intuition, and modern recruiting automation.

  • Updated Oct 14, 2025
  • Python

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