Deepfake Video Detection using Deep Learning

Project Title

Deepfake Video Detection using Deep Learning

Project Area of Specialization Artificial IntelligenceProject Summary This projects aims in detection of video deepfakes using deep learning techniques like RestNext and LSTM. We have achived deepfake detection by using transfer learning where the pretrained RestNext CNN is used to obtain a feature vector, further the LSTM layer is trained using the features. Project Objectives

This project will detect fake or edited videos.

1. this will detect fake videos using in news.
2. this will someone's personal deepfaked video to stop defamed.
3. this will stop financial fruads.

Project Implementation Method

This is web based project which will take video from user to detect. This is divided into two parts frontend which is created using react and backend is created using python and different models of deep learning.

Benefits of the Project

• this will stop blackmailing to someone using fake videos.
• financial fruads will be stopped.
• no more fake news
• no revenge porn
• no defaming of anyone 

Technical Details of Final Deliverable

This is web based project which will take video from user to detect. This is divided into two parts frontend which is created using react and backend is created using python and different models of deep learning.

Final Deliverable of the Project Software SystemCore Industry ITOther IndustriesCore Technology Artificial Intelligence(AI)Other TechnologiesSustainable Development Goals Industry, Innovation and InfrastructureRequired Resources

Item Name	Type	No. of Units	Per Unit Cost (in Rs)	Total (in Rs)
			Total in (Rs)	10000
IDE software	Miscellaneous	1	8000	8000
Documentation	Miscellaneous	1	1000	1000
IDE software	Miscellaneous	0	0	0
Documentation	Miscellaneous	1	1000	1000