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Deepfake detection

Developed a Python program that identifies deepfake videos using machine learning.

Created on 13th March 2024

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Deepfake detection

Developed a Python program that identifies deepfake videos using machine learning.

The problem Deepfake detection solves

Combats Misinformation: Deepfakes can be a major source of fake news. This project helps fight that.
Uses Trending Tech: Machine learning and deepfakes are widely used.
Potential for Social Impact: A well-designed detector can contribute to a safer online environment.

Challenges we ran into

Limited Datasets: Public deepfake datasets can be scarce and might not encompass the full range of deepfake creation techniques.Training Time and Resources: Training deep learning models was time consuming as well as required powerful hardware or cloud resources.

Tracks Applied (1)

Main Track

This project uses the concepts of Artificial intelligence and machine learning which comes under the main track "Open".

Discussion

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