I've built two end-to-end full-stack web applications, covering REST APIs, database modeling, authentication, and responsive user interfaces.
For a Student Performance Prediction System, I created a Flask API that runs Scikit-learn classification models to forecast academic outcomes in real time. I also built preprocessing pipelines with Pandas and NumPy and stored submissions and prediction logs in MySQL and SQLite.
I developed the Smart College Accounts System as a secure financial management platform with role-based access, session-based authentication, protected routes, and Flask CRUD endpoints. Its JavaScript dashboards visualize fee trends, ledger summaries, and payment history.
I've deployed a production ML web application on Render, used Git branching for modular development, and applied parameterized SQL queries and input validation across backend services. I’m continuing my B.Tech in Artificial Intelligence and Machine Learning at MITS.
