Pull Request for DL-Simplified 💡

Issue Title : Deepfake Videos and Images Detector using DL

• Info about the related issue (Aim of the project) : The goal of this project is to develop multiple deep learning models for detecting deepfake images and compare their performance based on accuracy.
• Name: Fathima Zulaikha
• GitHub ID: zul132
• Email ID: [email protected]
• Idenitfy yourself: GSSoC-Ext 2024 Participant

Closes: abhisheks008#853

Describe the add-ons or changes you've made 📃

• First, I loaded the dataset and performed Exploratory Data Analysis (EDA) on the images.
• Then I trained the CNN, CapsNet and Xception models for detecting deepfake images from the real ones
• I then evaluated the models using the Test data and computed their accuracies and loss.
• Based on the accuracy scores, I selected the best fitted model for the deepfake image detector.

Type of change ☑️

What sort of change have you made:

• Bug fix (non-breaking change which fixes an issue)
• New feature (non-breaking change which adds functionality)
• Code style update (formatting, local variables)
• Breaking change (fix or feature that would cause existing functionality to not work as expected)
• This change requires a documentation update

How Has This Been Tested? ⚙️

I tested each of the models on the Test data and evaluated their performance based on two metrics - loss and accuracy.

Checklist: ☑️

• My code follows the guidelines of this project.
• I have performed a self-review of my own code.
• I have commented my code, particularly wherever it was hard to understand.
• I have made corresponding changes to the documentation.
• My changes generate no new warnings.
• I have added things that prove my fix is effective or that my feature works.
• Any dependent changes have been merged and published in downstream modules.