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Design a Music Genre Recommendation System in Python Using a Decision Tree Classifier. This code contains training, testing, prediction, and model storage in Jupyter Notebook. Begin your machine learning career with this repo for Decision Tree music genre classification.

EDU2JOB-Education To Job Role Prediction.EDU2JOB is a machine learning–based web application that predicts suitable job roles using a user’s education, skills, CGPA, and experience. It uses a Random Forest model with a Django REST API and JWT authentication to provide secure, accurate career guidance for students and job seekers.

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Machine learning based career prediction system that analyzes user inputs and predicts suitable career paths using Python and classification models.

A Career Prediction Web App using Flask, Machine Learning, and JavaScript to suggest career paths based on skills, GPA, and interests.

AI-powered Career Prediction & Job Recommendation System built using Flask, Machine Learning, and SQLite. Provides career success probability, skill gap analysis, and personalized job recommendations.

I have Built the AI Career Prediction System by using the python and streamlit and used machine learning approch as well

Edu2Job is a career prediction system that analyzes education background and skills to recommend suitable job roles using machine learning.

This project presents a Student Career Prediction System that uses a relational database and machine learning to analyze academic performance, skills, interests, and activities, providing data-driven and explainable career recommendations to support informed career planning.

"This project analyzes NBA player data to explore physical attributes, career length, and positions using Python, data visualization, and machine learning models for insights and performance prediction."

AI-Enhanced Career Guidance System using Machine Learning to predict the best career path for final-year students. Matches student skills and qualifications with career datasets and provides recommendations through a modern Streamlit web app with interactive UI and real-time predictions.

The Job Prediction and Learning Recommendation System uses machine learning to predict suitable job roles based on a user’s skills and qualifications. It also suggests personalized learning resources to help users improve their skills and prepare for their desired careers.

AI Career Guidance — A machine learning powered web app built with Streamlit that recommends career industries based on user profiles (job title, experience, salary, location, etc.). It uses Random Forest for predictions, logs recommendations, and provides insights into future job market trends.

TechFit – Intelligent Career Path Prediction System is a machine learning–based web app that analyzes user interests and skills to recommend the most suitable technology domain. It uses data preprocessing and trained models to deliver accurate, personalized, and data-driven career guidance.

🚀 Career Prediction Using Personality & Cognitive Scores | Streamlit ML App 🔍🧠 Excited to share my latest machine learning project where I built an interactive Streamlit web app that predicts an individual’s career domain based on their Big Five Personality Traits and Cognitive Aptitude Scores. 📊💼

Skill2Salary is a smart salary prediction platform designed to help users estimate their expected salary based on educational background, work experience, and job preferences. Powered by machine learning, the app uses real-world data to make informed predictions and guide users in career planning.

Learned the concepts of machine learning and their application in the world of finance. Completed the 6 Modules of the Career Launcher Machine Learning Internship program (FREE), which involved the application of ML libraries like pandas, data visualization, regression, Trade Call Prediction using Classification, Modern Portfolio Theory, and clustering for diversification analysis

A data analysis project using open source data. This project was completed as part of Career Foundry's Data Analytics Program (Specialization). The purpose of this analysis was to determine the suitability of machine learning to assist in prediction of weather, climate change, and extreme weather events.

I am a proactive person who believes that a strong dedication towards quality work and professional attitude brings success to the work industry. Critical thinking, passion, and dedication are my framework for success. My ambition is to provide fresh perspectives and trying new techniques that will help the company evolve. On my career path I want to grow a career as Software Developer and Data Scientist where I would implement new skills while providing high ethical standards to the field of work. I thrive in environments where I am able to make a direct impact utilizing analytical thinking skills and complex problem-solving to find solutions and achieve results. I pride myself in possessing and having demonstrated good interpersonal skills including; communication, collaboration, planning. Throughout my past experience in Data engineering, I have gained working proficiency in the following tools: SQL, R, Power BI, Machine learning, Tableau, SAS, SPSS, Excel and Python I now have the knowledge of; Analyzing local, national, and global trends that impact both the organization and the industry using statistical tools/Machine learning in a complex datasets to prepare reports for the management that could be helpful for the diagnosis and prediction to assess business performance over periods of time. Throughout my academic year I manage to work with C# (build web apps that can be supported with Windows servers) and MySQL to build web development. Lastly I am an honest person that's eager to learn.

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The primary goal of this project is career prediction using machine learning algorithms. It aims to provide personlized carrer recommendations to students baased on their skills, interests, market demands.The system analzes data points and suggest suitable career paths, especially targeting students inrural areas who lack access to traditional .

To create a solution for students that can help them decide their best career path or area of specialization in their early academic stage It takes various data of student, like interest in Machine learning, Web Dev etc gives prediction as to what career domain best suits the students

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Career prediction using machine learning

Artificial Intelligence Project