Simulated stock market for 400+ students where university clubs acted as companies. Built with Next.js, Firebase, and WebSockets with local engines for real-time matching. Companies could post news, and admins had control over market conditions.

Full-stack Next.js site for the Math Club with a custom backend-powered blog. Designed, developed, and maintained to boost engagement and event visibility.

Modern, full-featured platform for the official university newspaper. Built with Next.js and Firebase, it includes a sleek reading experience, anonymous article submissions, and a powerful admin dashboard to manage 200+ articles, events, and contributors. Also serves as a central hub for all campus happenings.

Ongoing platform for ordering from temporary food stalls at university events. Built with Next.js, Firebase, and Redis. Users can book food, while stalls manage orders, stock, and view real-time statistics. Admin dashboard provides analytics and control.

Next.js and Firebase-based app to track user moods over time. Features smooth UI, interactive charts, and persistent user history.

Explored 10k+ case records using Polynomial and Ridge Regression to predict trends. Evaluated using MSE and visualized insights via Matplotlib.

KNN-based model on the Pima dataset with EDA, preprocessing, and evaluation via confusion matrix and classification metrics.

React and Firebase app to log daily caffeine intake. Tracks trends over time with real-time updates and clean, mobile-friendly UI.

Collection of core ML implementations done during the IIITH AIML program — includes clustering, regression, and deep learning fundamentals.