Personalized Career Path Recommendation Using Deep Learning For Freshers
-
Updated
May 30, 2023 - Jupyter Notebook
Personalized Career Path Recommendation Using Deep Learning For Freshers
Smart AI career assistant - resume parsing, skill gap analysis, and personalized guidance for students and professionals.
AI-powered career recommendation engine leveraging the ESCO knowledge graph, transformer-based embeddings, and FAISS vector search for semantic job-skill matching.
AI-Powered Career Path Recommendation is an intelligent system that analyzes user skills, interests, and goals to suggest suitable career paths. It also provides personalized learning roadmaps, resume analysis, and mock interviews to help users prepare effectively for their chosen careers.
AI-powered resume analyzer that extracts skills using NLP, calculates ATS score, predicts suitable job roles, compares career paths, and generates improvement suggestions using React + Flask.
Full-stack career recommendation platform built with React, Flask, JWT authentication, and PostgreSQL.
AI-driven career path recommendation system using Random Forest.
A skill-based student progress and career recommendation system that bridges the gap between online certifications and real-world career opportunities using NLP and semantic matching.
AI-powered career recommendation system using Machine Learning and NLP
AI-powered Resume Analyzer & Career Recommendation System built using Flask and Machine Learning.
Add a description, image, and links to the career-recommendation topic page so that developers can more easily learn about it.
To associate your repository with the career-recommendation topic, visit your repo's landing page and select "manage topics."