
Programming Languages: Python, Java, C, HTML, React, CSS,SQL
Technologies: AI/ML, Linux, Git, Git Hub
Anomaly Detector, Led the development of an AI/ML-based system for detecting violence and aggression in real-time surveillance footage along with Fire and Weapon detection overall 75% accuracy. Utilized deep learning techniques and computer vision algorithms to analyze video streams and identify potentially harmful behavior.
Drowsiness Detector (Jagte Raho), Designed and implemented an AI/ML model to detect drowsiness in drivers using computer vision techniques with overall 80% accuracy. The system monitors facial expressions and eye movements in real-time to alert drivers when signs of fatigue are detected.
Malware and File Interceptor, Created a malware and file interceptor application from scratch in Kali Linux, capable of intercepting and analyzing network traffic, identifying malicious activity, and preventing unauthorized file access and bypass HTTP protocol.