Cutting-Edge Real-Time System for the Detection of AI-Generated and Manipulated Video Content
DOI:
https://doi.org/10.65521/intjournalrecadvengtech.v14i2s.1445Keywords:
Deepfake Detection
Social Media
Video Water- marking
MesoNet
Content Authentication
Web Security
Abstract
This study provides a social media network inspired by Instagram that incorporates an integrated AI-based system for video tampering detection. For deepfake signatures, the system analyses submitted video information using MesoNet, a compact convolutional neural network. To guarantee the authenticity of the content, detected altered videos are immediately marked with a visible watermark before being shared. To create a safe, scalable multipage application, the project makes use of Node.js, MongoDB, Python, and MoviePy. Results reveal 85–90.
Downloads
Download data is not yet available.
Downloads
Published
2025-12-11
How to Cite
Babar, A., Pawar, N., Arekar, S., Gaikwad, S., & Teli, P. (2025). Cutting-Edge Real-Time System for the Detection of AI-Generated and Manipulated Video Content. International Journal of Recent Advances in Engineering and Technology, 14(2s), 106–110. https://doi.org/10.65521/intjournalrecadvengtech.v14i2s.1445
Issue
Section
Articles
License
This work is licensed under a Creative Commons Attribution-NoDerivatives 4.0 International License.
