This was our final year project , which was created to ease the process of CV-Screening by automatically selecting top candidates out of the number of Candidates applied for the job . We have used Python + Flask as backend and Angular as Frontend . The operation was quiet easy , just upload PDF of CV and get the TOP Candidates .
A brutally honest, sector-specific CV screener skill for Claude
Browser extension that scores CVs against a Job Description. Human-in-the-loop, BYO API key, MIT licensed.
AI-powered CV screening tool — score candidate-job fit, identify gaps, suggest improvements
ATS-Research
🤖 Automated AI HR Screening Pipeline — n8n + GPT-4 + Gmail + Google Sheets | 4th Sem AI Lab Project
Локальная интеллектуальная система (FastAPI + Streamlit) для автоматического парсинга, ИИ-скоринга и сравнительного анализа резюме соискателей с использованием локальной LLM через Ollama. Полностью контейнеризировано в Docker Compose.
AI-powered CV screener using Llama 3.1 via Groq. Upload a CV and job description to get a match score, matched skills, missing skills, and improvement tips. Built with Streamlit.
Recruiter dashboard for AI-assisted CV screening. Manage candidates, resumes, job descriptions, and evaluate applications with explainable AI scoring. Built with Next.js 14, TypeScript, and Tailwind CSS.
AI-powered CV screening backend — NestJS, PostgreSQL, Prisma. Multi-criteria scoring engine with explainable results to help recruiters evaluate candidate fit against job descriptions.
AI-powered candidate screening system — n8n + Groq — scores CVs contextually, auto-sends decisions, logs everything. 8hrs of screening in 35 minutes.
AI-powered CV screening app built with SAP CAP, SAP Fiori Elements, Node.js and Groq AI — deployed on SAP BTP Cloud Foundry
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