Designed for recruiters, Our AI-powered platform can filter out top resumes of the stack
This project is a Django-based web application that focuses on resume analysis and scoring using advanced Natural Language Processing (NLP) techniques and machine learning models, including LSTM-based classification.
This repository uses Text mining and natural language processing algorithms for screening objectively thousands of resumes in a few minutes without bias to identify the best fit for a job opening based on thresholds, specific criteria or scores.
Python client for MagicalAPI: resume parsing, resume scoring, LinkedIn profile and company data extraction for hiring and business insights.
An enterprise-grade Applicant Tracking System (ATS) resume analyzer built with **FastAPI**, **HTMX**, **Alpine.js**, **Tailwind CSS**, and **Chart.js**. Features deep LLM integration for semantic analysis, career trajectory evaluation, and AI-powered resume improvement coaching.
AI-powered Resume Scorer & Improvement Advisor that analyzes ATS compatibility, scores resumes across 10 parameters, identifies missing keywords, and provides AI-generated improvement suggestions.
Match resumes to job descriptions using Python and AI-powered resume matching API.
Resume-Score: Streamlit tool for automating resume parsing using NLP models to extract key data.
My NLP related projects
A simple and fast Applicant Tracking System (ATS) resume scorer using Python and Google Gemini AI.
AI-powered resume scoring workflow that compares resumes against job descriptions without ATS keyword bias
A job application tracking system that auto-tracks job application on LinkedIn and leveraging Google's Gemini GPT to provide job-specific resume analysis, feedback and scoring.
Resume Ranker is an AI-powered system that automatically analyzes and ranks resumes based on job-specific criteria. It fetches resumes from Google Drive, extracts text, scores candidates using Google Gemini API, and saves the results in a CSV file for easy review.
Transformer-based résumé scoring system using BERT regression to generate consistent, objective 0–100 résumé quality scores.
Score any resume out of 100, see exactly why, and match it against a job description — entirely offline, no account, no API key.
An open source AI recruiter that scores your resume consistently and fairly, tells you what's working and what isn't, for any job role.
AI-powered resume analyzer built with Streamlit and OpenAI API that evaluates resumes, checks ATS compatibility, identifies skill gaps, and generates career recommendations.
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.
Upload your resume (PDF/DOCX) and paste any job description to get an ATS compatibility score across 7 categories. Features interactive charts, keyword analysis, improvement suggestions, and PDF report download. Built with PHP, Tailwind CSS, Chart.js, and DOMPDF.
Add a description, image, and links to the resume-scoring topic page so that developers can more easily learn about it.
To associate your repository with the resume-scoring topic, visit your repo's landing page and select "manage topics."