Mile Stones
Research Works
Deep Fake Detection Using Deep Learning
Published in the International Journal for Science and Advanced Research in Technology (IJSART)
Volume 9, Issue 12 | Publication Date: December 19, 2023
Paper ID: IJSARTV9I1274515
This study focuses on identifying deepfake media using CNNs and transfer learning to detect visual inconsistencies.It demonstrates an effective approach to detecting manipulated videos and images.
Roles & Responsibilities
Internship Coordinator – Dept. of AIML, CIT
Coordinated 6-month internships for 7th-semester students from Dec 2023 to Apr 2024.
Event Head – Melinia 2025 Symposium
Led the flagship inter-college hackathon and managed end-to-end event execution in Mar 2025.
Honors & Learning
Winner – SIH 2023 Internal Hackathon
Recognized for developing an innovative tech solution.
Research Presenter –Technical Symposium
Presented the paper “GenAI’s Artistic Endeavours” at a national-level academic event.
Deep Learning: Unlocking the Full Potential
Workshop at PSG College of Technology – Issued Mar 2023
Finalist – Nexus National Level Hackathon
Reached the finals among top-performing national teams.
Google Cloud Study Jam
Google – Issued Sep 2023
Visual Eyes & Recommendation Engine Using Ml
Workshop at Kumaraguru College of Technology – Issued Feb 2023