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B.Tech CSE student at Galgotias University, Greater Noida. I build AI-powered web apps, traffic detection systems, and blockchain platforms β and teach other CS students to do the same on Arjun Xploit.
Hey! I'm Arjun Kumar, a Computer Science student at GNIOT, Greater Noida with a passion for solving real-world problems through code.
I work across full-stack web development, AI/ML, and computer vision β from Flask-based traffic violation detection (ClearLane AI) to blockchain-powered certificate verification (CertifyChain).
Alongside building projects, I run Arjun Xploit β a YouTube channel where I teach CS students about projects, GitHub, free hosting, and AI/ML in Hinglish.
Real-time traffic violation detection system built for Flipkart Gridlock Hackathon 2.0 Round 2. Detects violations using YOLOv8, reads license plates via EasyOCR, and displays a live analytics dashboard with heatmaps. Deployed on Render.com with a Flask backend.
AI-powered Library Management System with smart book recommendations (collaborative filtering), multi-role auth (Admin/Librarian/Student), automated fine calculation, issue-return tracking and analytics dashboard. Live on Netlify.
Campus identity verification using QR + Face + Voice biometrics β every entry/exit event written to a tamper-evident SHA256 + HMAC-SHA256 blockchain ledger. Flask REST API + single-page dashboard. Docker/Heroku deployable.
Full-stack decentralized certificate verification platform β QR code generation, blockchain explorer, AI assistant chat via Claude API, and Formspree contact. Built across 24 files with Node.js proxy server.
Real-time campus LAN security monitoring dashboard built with React. Tracks connected devices, detects anomalies and threat scenarios using Wireshark packet data, and displays live alerts β customized for GNIOT campus subnets and hostnames.
Full-featured electronics e-commerce platform β user authentication, product search & filtering, shopping cart, order management, and admin dashboard. Fully responsive for mobile and desktop.
Data analysis of 200+ countries' debt data from the World Bank. Interactive charts, country comparisons, trend analysis, and financial risk assessments β built with Jupyter Notebook and Power BI.
Open to internship opportunities, project collaborations, and connecting with fellow developers. Drop me a message!