AI powered career path recommendation system

ViaMentis is an AI-powered career guidance platform designed to provide personalized career recommendations for students and professionals. By assessing an individual’s aptitude, aspirations, abilities, and work experience, the system delivers tailored career paths .

ZhiTuCareer+ is a web-based career analysis and job recommendation system designed to assist users in evaluating their career paths and discovering suitable job opportunities based on their profiles. The system offers features such as career path analysis, job recommendations, market trend analysis, and course match functionality.

This project is a capstone AI-driven career guidance system designed to offer personalized career path recommendations and resources based on user inputs.

Career Recommendation System 🌟 A web-based application that uses Python and machine learning to suggest personalized career paths based on user skills, interests, and preferences. Designed to simplify career decisions with accurate and actionable insights.

The programming learning path recommendation system, developed by Nguyễn Phan Đức Minh, personalizes learning based on career goals, current skill level, daily study time, and mathematical–algorithmic ability. It leverages AI to analyze user information and provide an optimal learning path, suitable for beginners through advanced learners.

This system predicts the best job role for a user based on their skills, experience, and qualifications using NLP-driven classification.

AI-powered career recommendation system for students

AI-powered Career Recommendation System that suggests personalized career paths based on skills, interests, and education using machine learning with interactive visualizations and a user-friendly interface.

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.

ICG (Intelligent Career Guidance) system is an AI-powered platform that helps students identify potential career paths based on their skills, interests, and preferences, using AI-driven analysis and recommendations.

This project leverages machine learning to predict suitable career paths based on user input. By analyzing academic performance, skills, and interests, the system provides career recommendations tailored to the user's profile.

a data-driven career guidance system that leverages alumni employment outcomes and student academic performance to generate personalized career recommendations. Using the KNN algorithm, the system identifies similar alumni profiles and suggests relevant career paths, helping students make informed decisions while improving employability outcomes.

**Career Recommendation AI Model** An AI-powered system that predicts the best career paths for students based on their academic data, interests, and learning style. It uses machine learning (XGBoost & Random Forest) with feature engineering, data balancing (SMOTE), and hyperparameter tuning to deliver accurate, data-driven career recommendations.

Education Recommendation System: A Flask-based web app using machine learning to help university students choose suitable studies and career paths. Analyzes academic performance, interests, and activities to provide personalized recommendations for optimal academic and professional decisions.

An ontology-based decision-support system for student program selection at New Era University's CICS, leveraging OWL and SWRL to provide personalized academic recommendations by mapping interests, skills, programs, and career paths.

An AI-powered Career Recommendation System that suggests personalized career paths based on a user’s education, specialization, skills, and certifications. Built with Python and Streamlit, it demonstrates an end-to-end ML workflow including data preprocessing, model training, evaluation, and interactive deployment.

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ML Model

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The AI Career Path Recommendation System is a project I built to help students and fresh graduates who are confused about choosing the right career direction. The system takes basic inputs like skills, interests, and educational background, analyzes them, and suggests career paths that best match the user profile.

A recommendation system to generate job,career path recommendations.

Career recommendation site which guide through out the career

An intelligent system that predicts the top 5 career paths and recommends relevant courses based on a user’s skills, interests, and proficiency level. It uses TF-IDF and machine learning to provide personalized career guidance.

AI-Based Career Guidance System with features like user registration, career recommendation, resume analysis, career path visualization, and upskilling suggestions.

The Jobify platform is a career coaching platform and Career path recommendation system. Its purpose is to help students and graduates find a suitable career path according to their interests.

An intelligent Career Path recommendation system built with modern full-stack technologies and AI-driven chatbot integration.

Machine Learning–based Career Recommendation System that predicts suitable career paths using student skills, academic performance, and interests. Built with Python and Scikit-learn.

The Career Path Recommendation System is a demo application that helps users explore potential career paths based on their current occupation and skill set. The app uses a dataset of skills and occupations to provide recommendations and highlight skill gaps for the transition to a new career.

NextStep - AI-Based Career Guidance System is an intelligent platform that helps students choose the right career path by analyzing their strengths, interests, and market trends. Built using Django, React.js, PostgreSQL, and scikit-learn, the system provides personalized career recommendations, bridges the gap between academic profiles and career.