Personalized AI Career Path Prediction Using Machine Learning

 Rajesh¹, V.Hari krushna²

¹Assistant Professor, ²MCA Final Semester,

Sanketika Vidya Parishad Engineering College, Visakhapatnam, Andhra Pradesh, rongalarajesh337@gmail.com,harikrishnavavilapalli7@gmail.com

ABSTRACT 

Personalized AI Career Path Predictor is an intelligent system that recommends suitable career domains for students based on their skills, academic performance, and personal interests. The system gathers important student information such as technical skills, soft skills, academic grades, certifications, and areas of interest, and analyzes this data using Machine Learning techniques to understand their strengths and preferences. It uses classification and recommendation algorithms like Decision Tree and Random Forest to match student profiles with suitable career domains such as Data Science, Software Development, Cybersecurity, and other growing fields. Before making predictions, the data is cleaned and processed properly, important features are selected, and the model is trained and tested to improve accuracy and reliability. The final system works through a simple and user-friendly web interface that provides personalized, data-based career suggestions, helping students choose the right career path with confidence.

Keywords: Machine Learning, Career Prediction, Student Guidance, Decision Making, Skill Analysis, Interest Mapping, Personality Assessment, Predictive Modeling, Data Preprocessing, Feature Selection, Model Training, Model Evaluation, Accuracy, MAE, MSE, RMSE, Classification Algorithms, Career Recommendation System, Performance Analysis, Decision Support System.