SkillBridge AI

Many students struggle to understand which skills they need to develop for their desired career. I wanted to create a simple tool that could turn this confusion into a clear and actionable learning path.

SkillBridge AI is an AI-powered skill-gap analyzer that helps students identify the skills they already have, discover the skills they are missing, and receive a personalized roadmap toward their career goal. I built the project using Python and Streamlit, with data processing and analysis using Pandas and NumPy. I also explored machine learning concepts using Scikit-learn and focused on creating a simple, easy-to-use interface. While building the project, I learned how to turn an idea into a working application, structure a project, work with data, and connect different technologies together. One of the biggest challenges was deciding how to represent career requirements and compare them with a student's existing skills. This project also helped me understand that building a useful AI application isn't only about the model—it is also about solving a real problem and making the result understandable to the user. My goal with SkillBridge AI is to help students move from “What should I learn?” to “I know exactly what to learn next.”