ATS Buddy is a production-ready, serverless AI resume analyzer built on AWS Bedrock (Nova Lite). It intelligently compares resumes against job descriptions, providing compatibility scores, missing keyword detection, and AI-powered resume enhancements—all while ensuring enterprise-grade PII protection and cost-efficient auto-scaling.
Applicant Tracking System (ATS): A powerful platform leveraging generative AI and soft-match algorithms to analyze resumes against job descriptions. Built with React and Node.js, it streamlines hiring insights. Future plans include expanding to investor pitches and other structured documents.
🚀 Built AI Career Forge – a full-stack AI-powered platform that helps users build, analyze, and match resumes with job descriptions. Used React, Express, Firebase, and Google Generative AI to make resume building smarter and faster.
The system to connect Recruiter(Company) and Student(University).
ResuMatch is a full-stack web application designed to streamline the job application process for job seekers. It offers features like resume analysis, intelligent job matching, an interactive interview preparation chatbot, and a customizable resume builder and get job suggestions. Built with React, Django, and Tailwind CSS.
CareerBot is an experimental automated bot designed to apply for jobs that match your skills and preferences. Users can set specific criteria for job applications, and if those criteria are met, CareerBot will automatically submit applications on your behalf. Customize the number of applications per day, and let CareerBot handle the rest.
An AI-powered tool that analyzes resumes and gives insights on skills, experience, and job match.
ResumeCraftr is an AI-powered tool that extracts, optimizes, and formats resumes for ATS systems using OpenAI and LaTeX. Tailor your CV to specific job descriptions effortlessly!
A program that finds the best resume for a job description.
This repository contains the source code and resources for the research paper "CareerBERT: Matching resumes to ESCO jobs in a shared embedding space for generic job recommendations," published in Expert Systems With Applications.
AI-driven resume optimization platform for intelligent job matching and candidate analysis
Simple Recommender System for Jobs Matching merupakan Algoritma Recommender System yang dibangun untuk membantu para kandidat dan perusahaan menemukan kesesuaian antara skill dan jobs requirement
AI-powered career assistant with XGBoost ML model (78.14% accuracy) trained on 6K+ resume-job pairs. Features advanced NLP skill extraction, GPT-4 resume enhancement, and intelligent job matching with real-time predictions.
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.
CV Embed is an AI resume analyzer that matches candidates with job descriptions using SBERT/GloVe/Doc2Vec models. Calculates compatibility scores, suggests top job matches, and generates real opportunities. Supports PDF/DOCX uploads with Flask backend and Gemini AI integration.
AI-powered resume analyzer that scores resumes, provides ATS feedback, and offers job-matching suggestions. Built with React, TypeScript, Zustand, and Puter.js for AI, auth, and storage.
AI-Powered Developer Search helps find top developers by skills, experience, and location using a MongoDB database. It utilizes GPT-4 for query refinement and cosine similarity for matching. AI-Powered Resume Search quickly finds matching resumes with vector embeddings and FAISS, optimizing candidate selection.
Smart Job Recommendation System that leverages machine learning to recommend job opportunities based on user profiles and preferences.
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