resume-screener

AI Resume Screener — DistilBERT fine-tuned on 43 job categories, 88% accuracy, deployed on HuggingFace Spaces

AI-powered ATS — Kanban pipeline, Groq AI resume scoring, interview scheduling, and 4-role sandbox

An agentic LangGraph pipeline that evaluates candidate-job fit using structured LLM reasoning to generate evidence-backed hiring recommendations.

AI-powered resume screening system using NLP and Streamlit

This project simulates an AI-powered resume screening system that extracts and analyzes candidate information such as skills, experience, and tools.

Full-stack AI Resume Screener with recruiter authentication, public job applications, PDF resume parsing, ATS-style candidate ranking, and semantic AI scoring using Gemini and Pinecone.

An AI-powered tool that helps recruiters automatically screen resumes against a given job description. This project reduces HR workload by analyzing resumes (manual uploads or Gmail attachments) and scoring them based on semantic similarity.

An AI-powered Resume Screening and Skill-Gap Analysis system built with Python, spaCy, and Streamlit.

Multimodal AI-powered ATS system using OCR, NLP semantic matching, and explainable resume-job evaluation.

📄 AI-powered Resume Screener that analyzes PDF resumes against job descriptions using ATS keyword matching, TF-IDF vectorization, cosine similarity, and NLP techniques to generate match scores and improvement suggestions.

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.

An intelligent AI-powered resume screening system built with n8n, Google Gemini AI, Gmail, and Google Sheets that automatically evaluates candidates, scores their resumes against a job description, makes selection decisions, and sends personalised emails .

A modern React frontend dashboard for the AI-powered Resume Screener system, integrated with Gemini 1.5 Flash.

AI-powered resume screening tool — match score, ATS analysis, keyword intelligence, and interview prep questions powered by Groq and Llama 3.3

AI-powered resume screening web app built with Python Flask, PyPDF2 and Claude AI API

An AI-powered Applicant Tracking System (ATS) utilizing Natural Language Processing (NLP) and Python to score candidate resumes against job descriptions.

NLP-based resume classification system using TF-IDF, Linear SVM, PDF parsing, and Streamlit deployment.

AI-powered Resume Screener built with Python that analyzes resumes, matches skills with job descriptions, calculates a match score, and generates reports.

AI-powered hybrid resume screener, that scores resumes using skill graph matching, semantic similarity & experience weighting. Built with FastAPI, Celery, PostgreSQL, React & Groq.