DEEPDETECT Decoded !

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@k7ishn

Harsh | Founder of DeepDetect

Me

Hey, I’m Harsh !
Web developer, tech enthusiast, and Gilfoyle of DeepDetect.

That's It !

Technologies Used

1. Programming Languages: Python & JavaScript

2. Frameworks & Libraries: TensorFlow / PyTorch, OpenCV, NumPy, Pandas, Scikit-learn

3. Machine Learning Models: CNNs, DeepFake Detection Models (DenseNet121)

4. Web Development:
Flask (for backend), HTML, CSS, JavaScript (for frontend)

5. Other Tools:
SMTP (for form submissions), GitHub (for version control)

How did I Train "Anton" ?

For Those of You, Who Don't Know "Anton" is The Model That I have trained For Classification.

Initially There were several Dataset That were really good to use for the Training Anton.

But, This Dataset From Kaggle was the One That was finalized to Train Anton:
140k Real and Fake Faces.

After several GPU Meltdown, Anton was born.

Thank You Google Colab !

Next Step : Perfection

We are continuously working to enhance DeepDetect to achieve even greater accuracy, efficiency, and user experience.

Improving Model Accuracy

Optimized Performance

Scalability & Deployment

Robust Security

We're on a mission to make DeepDetect the gold standard in deepfake detection. Stay tuned for the next evolution!

Frequently Asked Questions

Get answers to common questions about our deepfake detection service

Anton has been trained on a huge dataset and has achieved over 98% accuracy in detecting Deepfake images. However, as deepfake technology evolves, we will continuously update Anton to maintain high accuracy.

Anton can detect various types of image manipulations, including face swaps, facial attribute modifications, and general image manipulation techniques like content-aware fill, clone stamping, and object removal. But General Classification is if Image Deepfake or not.

We prioritize your privacy. All uploaded images are processed on Anton's secure servers and are automatically deleted after analysis is complete. We do not store or use your images for any other purposes.

Currently, Anton focuses on image analysis. For video deepfake detection, you can extract key frames from the video and analyze them individually. We're working on adding video analysis capabilities in the future.

Contact Us

Reach out to our team with any questions or feedback

Our Address

3156 university avenue,
palo alto, ca 94301-1605

Email Us

info@deepdetect.com
support@deepdetect.com

Call Us

+1 650-543-4800
+1 650-543-4800