A CV is a representation of a candidate’s profile, skill sets and achievements. Matching CV across a job description to identify potential candidates to interview is a tedious job. In this project we will be solving this problem by designing and implementing resume parser and analyzer which will help recruiters to process resumes by extracting data in a meaningful way given a certain job description. The application is aimed for recruiters to efficiently manage electronic resume documents sent via the internet.

An AI-powered tool that reads your CV, extracts key details like education, experience, and skills, and automatically builds a professional portfolio website using that data. Perfect for job seekers and developers who want to showcase their profiles fast.

A Python-based tool that automates the extraction and visualization of skills from CVs using OCR technology. Ideal for streamlining candidate evaluation processes in recruitment.

Project for Master's Thesis: extracting skills from CV's

🚀 CV Extractor API is a Flask-based web application that processes PDF resumes and extracts key information, including name, email, skills, and work experience. It utilizes SpaCy NLP, regex-based parsing, and MongoDB for data storage. The API allows users to upload resumes, extract structured data, and store it for further analysis.

Developed an AI-powered Resume (CV) Analyzer using Python, NLP, and Machine Learning to evaluate resumes, extract skills, and provide job-matching insights through an interactive Streamlit web application.

AI-powered CV Ranking System: Automatically parses CVs and job descriptions, extracts relevant skills and experience, calculates similarity scores, and ranks candidates. Uses NLP techniques, LLMs, and keyword analysis to streamline recruitment and improve matching efficiency.

Automated CV Classification & Job Matcher built using Python, Flask, and Machine Learning. It extracts key skills from CVs, classifies them into roles like Data Scientist, and matches them to job descriptions. Supports text, DOCX, and PDF files. Built at Corvit Systems, Bahawalpur.

ProfileMatch is a recommendation system for HR departments, efficiently matching candidates with job openings. It processes and analyzes CV data, extracting key information like skills, and experience. Machine learning algorithms classify and recommend the best candidates, streamlining recruitment and improving HR decisions.

AI-powered CV filtering system using FastAPI and Azure AI Foundary AI,Azure Vision OCR. Automatically extracts text from resumes, analyzes skills and experience with GPT models, and ranks candidates by job relevance. Integrates OCR, NLP, and Azure Blob Storage for smart, automated screening.

AI-Resume-Maker_and_Analyzer is a modified and enhanced version of Smart-AI-Resume-Analyzer — an AI-powered tool to analyze, evaluate, and give feedback on resumes. It extracts resume data, runs analyses (skills, experience, formatting, ATS-compatibility), and helps users improve their CV before job applications.

🤖 JOB SEARCHER is an AI-powered agent that reads your CV (PDF), extracts skills, searches LinkedIn for matching jobs in real-time using Selenium, and sends job listings to your WhatsApp via Twilio. Built with LangChain, LangGraph, and Streamlit — it's your personal automated job hunting assistant!

CV Skill Extractor

A website that helps individuals enter the IT field by matching their input skills or CV extracted skills to relevant job opportunities, identifying skill gaps, and providing job listings and filtering options using both the ESCO taxonomy and the Australian skills taxonomy.

Final project for elite groups

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Extract skills from PDF CV

This repository contains a project of a cvs skills extractor

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auto cv skill, summary etc. extractor via NLP - NER

A test project extracting the necessary skills from a CV.

Extract name, contact number, email and skills for a cv.

Extract the names and skills of employees from their CV

An AI-based resume analyzer that extracts skills, suggests missing skills, and gives a CV score.

NLP tool that extracts skills from job descriptions and compares with a CV

A Machine Learning Model that can classify the category that a CV belongs to, while extracting skills in the CV and recommending extra skills that might be beneficial for the user.

This project trains a Named Entity Recognition (NER) model using spaCy to extract **skills** from CV/resume documents

This skill reads an existing `.docx` CV, extracts all content, edits/restructures it, and outputs a polished PDF.