Resume Analyzer is a prototype web application that allows users to upload multiple resumes and compare them against a job description using vectorization and cosine similarity. The project is built using Python, Flask, and scikit-learn.

Resume Analyzer is a prototype application that allows users to upload multiple resumes and compare them against a job description using vectorization and cosine similarity. The project is built using Python, Flask, and scikit-learn.

HireSense AI is a Streamlit-based resume screening system that uses NLP to rank candidates based on job description relevance. It streamlines hiring by analyzing resumes, scoring matches, and providing an intuitive dashboard for recruiters.

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

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

The app leverages the capabilities of Artificial Intelligence and Natural Language Processing to automate the resume screening and applicant evaluation process. By utilizing machine learning techniques, the app efficiently matches job requirements with applicant skills, streamlining the hiring process for recruiters and HR professionals.

A Resume Screening System that applies Natural Language Processing (NLP) techniques to extract and compare skills from resumes against job descriptions. It uses methods like TF-IDF and BERT embeddings for similarity matching, and provides an interactive interface built with Streamlit and deployed on Hugging Face Spaces.