CORTEX ANOMALITY DETECTOR empowers organizations to proactively identify threats and anomalies in real time, ensuring trust and safety at the highest standard. The project focused on identifying irregularities within datasets or systems. Built primarily with HTML.

A data-driven analysis of Gen Z career preferences based on survey responses from over 230 participants. This project uncovers key trends in career aspirations, job expectations, and preferred work environments. Built in Python using pandas and Plotly, it includes an interactive dashboard for exploring insights and behavioral patterns.