VitaSort is an AI-powered resume screening and ranking tool that revolutionizes hiring by leveraging machine learning for precise candidate evaluation. Built with Streamlit, it offers real-time PDF resume analysis, TF-IDF vectorization, and cosine similarity scoring, complemented by advanced visualizations like radar charts and skills heatmaps.

Enterprise-grade AI-powered Multi-Tenant Applicant Tracking System (ATS) for HR automation intelligently parse, score, and rank candidates using semantic AI for faster, smarter hiring decisions.

TalentTrack is an open‐source recruitment analytics web application built with Flask and Python. It leverages advanced machine learning techniques—such as Product Quantization (PQ) for candidate ranking and SHAP for model interpretability—to help HR teams and recruitment professionals identify high-quality candidates efficiently.

AI resume screening and candidate ranking system using Python, FastAPI, and semantic skill matching to analyze resumes and compare candidates against job descriptions.

AI Resume Screening System using Python & ML

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

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.

This project is a sophisticated, production-ready Candidate Filtering & Ranking System designed to streamline the recruitment process. Leveraging Next.js 14 and TypeScript, it automates the evaluation of candidates against Job Descriptions (JDs) using a weighted algorithm.

🎯 Intelligent resume analysis and candidate ranking system with advanced fraud detection capabilities. Features AI-powered analysis, white font detection, smart ranking algorithms, and comprehensive ATS gaming prevention.

AI-powered resume screening system using NLP embeddings and hybrid scoring to rank candidates based on skills, domain, experience, and semantic similarity.

Full-stack AI resume screening system with semantic search, vector embeddings (Pinecone), LLM scoring via HuggingFace, and Gmail OAuth integration to automate candidate shortlisting.

TalentScope helps teams transparently rank candidates by aligning CVs with job descriptions using phrase-aware skill matching and salary-aware scoring.

Built an AI-powered resume screening system that parses resumes, auto-detects job roles, and ranks candidates based on skill, experience, and education match using Python and Streamlit.

AI-based web app that ranks top 10 suitable candidates based on resume-job description similarity using NLP and ML.

AI hiring assistant for resume embeddings, semantic job matching, candidate ranking, and recruiter workflow automation.

Adaptive multi-star candidate ranking system using deterministic scoring + relevance feedback with bias-aware filtering.