Khateeb Arif Parvez

I've built five end-to-end projects spanning AI/ML and web development, including HealNet AI, an AI-powered health web app that turns symptom and lifestyle inputs into early-diagnosis insights, risk information, suggestions, and personalized health tips.

For SpamSense, I built a Naive Bayes spam classifier in Python, Flask, and scikit-learn that achieved 85.7% accuracy and returns confidence scores and triggering keywords. I also created BloodLink to help users find blood donors across all 28 Indian state capitals through city and blood-group search.

I've developed practical browser applications such as SnipVault, a full-CRUD code-snippet manager with search, filtering, clipboard copy tracking, and localStorage persistence, and SpendWise, an expense tracker with live spending charts. My work combines front-end interfaces, back-end logic, APIs, and data-driven features.

I'm pursuing a B.Tech in Artificial Intelligence & Machine Learning at JBIET with an 8.85 CGPA, and I secured second position in the HackX Hackathon held at JBIET. I maintain a structured GitHub portfolio and keep building beyond coursework to learn, innovate, and deliver meaningful technology.