I built an end-to-end deepfake video detection tool using machine learning, Python, and OpenCV. I curated a dataset of 20,000+ authentic and synthetic video samples and deployed an interactive interface for classifying videos as real or fake.
During my M.Sc. in Forensic Science, specializing in Cyber Forensics, I studied digital evidence analysis, incident response, and audio/video forensics. I also used Audacity and Praat for audio/video forensic analysis.
Through Microsoft’s Student SOC Program, I gained hands-on experience with Microsoft Sentinel, Defender, and Security Copilot in simulated attack scenarios. My Digital Forensics Internship at Forensic.India gave me foundational exposure to forensic investigation workflows and Linux.
