Helmet Detection System - AI Safety Compliance Tool
I built a real-time helmet detection system using YOLOv8, OpenCV, and Flask to improve workplace safety. The application processes live camera feeds, applies compliance logic to ensure only helmet-wearing individuals are marked safe, and logs violations with timestamps on a web dashboard.
The end-to-end prototype included debugging a reverse safety logic issue, proper environment setup, and version control. This project demonstrates practical industrial safety applications, with potential deployment at construction sites, factories, and motorcycle checkpoints.
ssh-honeypot
Basic SSH honeypot for cybersecurity learning
SSH Honeypot & Threat Monitoring
Architected a functional honeypot to capture and log unauthorized SSH access attempts, analyzed attack patterns and brute-force techniques, and implemented logging for intruder IP addresses and command history.
JWT Validator & Secure Auth Lab
Developed a backend utility to validate JSON Web Tokens, focusing on preventing common vulnerabilities such as None algorithm exploits and strengthening understanding of stateless authentication and secure token-based communication.
Secure File Validation System
Built a tool to validate file uploads using MIME-type checking and magic byte verification to prevent malicious script execution.