cv-screening

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 .

🤖 Automated AI HR Screening Pipeline — n8n + GPT-4 + Gmail + Google Sheets | 4th Sem AI Lab Project

A brutally honest, sector-specific CV screener skill for Claude

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.

A Claude Agent / CoWork skill that reads, screens and rates applicant CVs from your inbox

AI-powered CV screening tool — score candidate-job fit, identify gaps, suggest improvements

ATS-Research

Upload PDF resumes and score them against configurable hiring criteria with text extraction and OCR.

Sistem screening CV otomatis menggunakan NLP untuk ekstraksi informasi kandidat dan metode SAW untuk perangkingan kandidat.

Fork of a shared academic CV-screening project: document parsing, ML Invite/Reject prediction, PostgreSQL and React.

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.

AI-powered ATS & Candidate Screening platform featuring semantic CV matching, hybrid scoring, RAG Copilot chat, and blind hiring built with Streamlit & FastAPI.

AI-powered CV screening app built with SAP CAP, SAP Fiori Elements, Node.js and Groq AI — deployed on SAP BTP Cloud Foundry

AI-powered candidate screening system — n8n + Groq — scores CVs contextually, auto-sends decisions, logs everything. 8hrs of screening in 35 minutes.

Local-first, privacy-preserving CV screening API — the LLM judges semantics; deterministic code verifies every fact (contacts, years, skills, scores). Evidence-grounded, prompt-injection-screened, fairness-audited (EEOC/NYC LL144), bilingual. Runs fully offline in a zero-dependency mock mode.

Scan your resume like a real Applicant Tracking System (ATS). Check keyword match, ATS compatibility, formatting issues, and content strength in seconds. Supports PDF and DOCX files, runs directly in your browser, and provides practical fixes to improve your chances of getting interviews.

Browser extension that scores CVs against a Job Description. Human-in-the-loop, BYO API key, MIT licensed.

Free ATS Resume Checker that analyzes parseability, keywords, formatting, structure, and content quality. Upload a PDF or DOCX, compare it with a job description, and get an instant ATS score with actionable suggestions. No signup, no uploads, and fully privacy-friendly.

AI-powered CV screening backend — NestJS, PostgreSQL, Prisma. Multi-criteria scoring engine with explainable results to help recruiters evaluate candidate fit against job descriptions.