MRI
MRI India Journals Vol. 14 No. 2s (2025): Special Issue: ICAESRTA-2K25

Cutting-Edge Real-Time System for the Detection of AI-Generated and Manipulated Video Content

Authors

  • Amrapli Babar Department of Computer Science and Engineering, Annasaheb Dange College of Engineering and Technology, Ashta, Maharashtra
  • Neha Pawar Department of Computer Science and Engineering, Annasaheb Dange College of Engineering and Technology, Ashta, Maharashtra
  • Sanika Arekar Department of Computer Science and Engineering, Annasaheb Dange College of Engineering and Technology, Ashta, Maharashtra
  • Sanika Gaikwad Department of Computer Science and Engineering, Annasaheb Dange College of Engineering and Technology, Ashta, Maharashtra
  • Prajakta Teli Department of Computer Science and Engineering, Annasaheb Dange College of Engineering and Technology, Ashta, Maharashtra

DOI:

https://doi.org/10.65521/intjournalrecadvengtech.v14i2s.1445

Keywords:

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

Vol. 14 No. 2s (2025): Special Issue: ICAESRTA-2K25

Section

Articles

License

Creative Commons License

This work is licensed under a Creative Commons Attribution-NoDerivatives 4.0 International License.