Personalized Career Path Recommendation Using Deep Learning For Freshers
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Updated
May 30, 2023 - Jupyter Notebook
Personalized Career Path Recommendation Using Deep Learning For Freshers
An AI-powered Career Navigation Platform that guides a user through their entire career lifecycle: Resume → Skill Gap → Learning Path → Career Simulation → Job Matching → Application Support The system acts as a personal AI career mentor, adapting to each user’s profile instead of forcing them into predefined paths . (Enter "API KEY" in dashboard
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 job matching platform that analyzes user skills, compares them with live hiring requirements, detects missing competencies, and recommends personalized career growth pathways.
AI-powered career guidance platform that helps students explore career paths using intelligent recommendations.
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-powered career path recommendation engine with explainable ML predictions. Built with Scikit-learn and Streamlit.
Career Recommendation streamlit app
Built an AI-powered career guidance platform that analyzes resumes, generates ATS-optimized resumes and cover letters, and provides personalized mock interviews and career recommendations using LLMs and data-driven insights.
A content-based job recommendation system built that matches candidates to relevant job postings using NLP and cosine similarity.
AI-powered career recommendation system that predicts suitable job roles based on students' academic performance, technical skills, and personal traits using Machine Learning. Compares Decision Tree, SVM, and XGBoost models.
AI-powered career path recommendation engine with explainable ML predictions. Built with Scikit-learn and Streamlit.
Machine Learning based career recommendation system that predicts suitable career paths based on user skills, interests, communication abilities, and academic performance.
NLP-based career recommender that suggests top job roles using TF-IDF, CGPA, and cosine similarity - built with Streamlit.
AI-powered career recommendation system built with Python and machine learning that predicts suitable career paths based on student skills, scores, and technology interests.
AI-powered career recommendation system using Machine Learning and NLP
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