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.
Match resumes to job descriptions using Python and AI-powered resume matching API.
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.
Resume-Score: Streamlit tool for automating resume parsing using NLP models to extract key data.
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