AI-powered cyber threat detection
A Flask application that classifies pre-existing network traffic records as normal or suspicious using a trained Random Forest pipeline.
I explore the space where AI, software, and visual thinking meet — turning curiosity into practical tools and meaningful digital experiences.
I'm a Creative Technologist drawn to the questions behind the interface — how systems work, how people experience them, and how thoughtful technology can make an idea useful.
I combine problem-solving, experimentation, and practical implementation across software, AI, and the web.
A Flask application that classifies pre-existing network traffic records as normal or suspicious using a trained Random Forest pipeline.
A FastAPI application for face registration, recognition-based attendance marking, and a live monthly attendance dashboard.
A Flask movie discovery experience combining a catalogue with text-based recommendation logic and a Vercel-compatible API.
B.Tech — Computer Science and Engineering, with a CC & ML specialization. Expected graduation: 2027.
Learning the foundations of Python, JavaScript, HTML, and CSS, then applying them to practical software.
Developing interfaces and server-backed applications with Flask, FastAPI, React, and Next.js.
Applying scikit-learn, data analysis, and feature-based classification to explore resilient systems.
Developing and deploying threat detection, smart attendance, and movie recommendation applications.
Let's turn a spark into something real.