An Intelligent Multi-Modal Framework for predicting student burnout via temporal sentiment analysis and behavioral pattern tracking. A full-stack solution built with Python, Flask, and NLTK to provide data-driven wellness insights and proactive mental health assessments.

A specialized Flutter-based health-tech framework designed for real-time stress risk assessment. By integrating physiological data points like pulse rate and systolic blood pressure into a multi-tier classification algorithm, it provides immediate insight into user wellness. Developed as a flagship open-source project under the eOzka student initia

Entab-D: A lightweight, productivity-focused Chrome extension designed to declutter your workspace by automatically sorting and organizing browser tabs. Built with the Chrome Extensions API and JavaScript, it provides a seamless interface for domain-based and title-based tab management. Part of the eOzka student-led initiative.