AI-Powered Resume Analyzer & Multi-Source Job Matcher, is a web application built using Python and Streamlit that helps job seekers find the best job opportunities based on their resume. The app extracts text from uploaded resumes, matches it with job listings from multiple sources, and displays the most relevant jobs.

TalentCraft is a full-stack AI-powered career platform that helps job seekers improve resumes, match with relevant jobs, and prepare for HR interviews. It also offers personalized learning paths with hands-on projects, progress tracking, and skill badges to close gaps and boost career growth.

🎯 HireLens – An AI-powered resume screening and feedback platform for both jobseekers and recruiters. Get resume scores, improvement tips, and smart candidate ranking — all in one place.

Job-breaking skills matching site "Yorbee"

Open-source GPT-powered jobseeking assistant built with Cursor, featuring automated resume parsing, real-time job matching via chat, and a custom-fit scoring system.

An NLP-powered Resume Scanner built with Python and Streamlit. Upload job descriptions and resumes, and instantly rank candidates based on semantic similarity using SpaCy and NLTK.

📄 Analyze resumes and match them with live job opportunities from multiple sources, enhancing your job search with AI-driven insights.

https://sbcm-alliance.github.io/Yorbee/

Parses resumes, matches them to job description keywords, and calculates a match score

🤖 Streamline your hiring process with this AI-powered tool that extracts and analyzes resume skills using NLP for quick evaluations.

💼 Optimize resumes and match jobs with TalentCraft, your AI-driven career companion for smarter job searching and interview preparation.

https://sbcm-alliance.github.io/G-Cart/

AI Hiring Recommendation System is an ML-powered tool that analyzes job descriptions and candidate profiles to generate match scores. Using NLP, vectorization, and weighted similarity, it ranks candidates based on skills and relevance, helping streamline recruitment and improve shortlisting accuracy.