Aim is to come up with a job recommender system, which takes the skills from LinkedIn and jobs from Indeed and throws the best jobs available for you according to your skills.

Job recommendation system using NLP, in which a user’s description is evaluated via a trained NLP model and jobs are suggested based on the similarities between the user’s skill set and the job’s required skill set. Jobs are scraped from various trustworthy sites in real time using Selenium and stored in a database.

This is base-line approach for building job recommendation engine

An AI-powered tool that analyzes resumes and gives insights on skills, experience, and job match.

[ICDM-2024] "DISCO: A Hierarchical Disentangled Cognitive Diagnosis Framework for Interpretable Job Recommendation"

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.

Smart Job Recommendation System that leverages machine learning to recommend job opportunities based on user profiles and preferences.

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.

SkillSync is an AI-powered resume analyzer and job recommender that helps users discover the best-matching tech roles based on their uploaded resume. It leverages natural language processing and semantic similarity techniques to compare resumes against job descriptions and return high-confidence recommendations .

Extract key info from resumes and recommend relevant job titles with Python and NLP.

A machine learning-powered Career Guidance Chatbot built with Python, Streamlit, and Scikit-learn. It analyzes user interests and questions to suggest the most suitable career paths using an SVM classifier trained on a career dataset.