Final year CS student who likes building things that solve real problems — whether that's a web app people actually use or a model that makes sense of messy data. I'm into full-stack web development and curious about where ML and AI are heading.
Languages · C++ · Python · JavaScript
Frontend · HTML · CSS · React
Backend · Node.js · Express
Databases · MongoDB
ML / Data · Scikit-learn · Pandas · NumPy
Tools · Git · VS Code · Flask
InsightVox — Campus Feedback System Two-sided platform for campuses. Students post complaints with photo/video, vote on each other's posts, and message staff privately. Staff get a dashboard to track and resolve everything. Built with vanilla JS + Express + MongoDB.
Security Alert Fatigue Detection System A Python + Flask desktop dashboard that monitors running applications in real time and detects when users start ignoring security warnings — a problem known as alert fatigue. The system calculates a threat score from suspicious process behavior (CPU spikes, memory surges, thread explosions) and a fatigue score from how the user responds to alerts (ignored, snoozed, acknowledged). When fatigue gets too high, low-priority alerts are suppressed automatically while critical ones stay visible. Users can trust, block, kill, snooze, or acknowledge any process directly from the dashboard. Built with Python, Flask, PyQt5, Scikit-learn (Isolation Forest), Pandas, and NumPy.
Looking for internship and entry-level opportunities in web development and AI/ML.