🐶🐱 Cat vs Dog Classifier — CNN + Gradio Demo

This project uses a Convolutional Neural Network (CNN) to classify images as either cats or dogs.
The model was trained using TensorFlow/Keras and deployed using Gradio on Hugging Face Spaces.

🔗 Live Demo

👉 Try the model here: Link

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📓 What's in the Notebook?

The Cat_vs_Dog.ipynb notebook contains the full training pipeline:

• Loads the Dogs vs Cats dataset from Kaggle
• Preprocesses images using image_dataset_from_directory
• Builds a CNN with Conv2D, MaxPooling, BatchNormalization, and Dropout
• Trains the model over 10 epochs and visualizes performance
• Saves the trained model to .h5 format

You can run the notebook in Colab or locally to see the full process.

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🛠 Technologies Used

• Python
• TensorFlow / Keras
• OpenCV
• Matplotlib
• Gradio (for app UI)
• Hugging Face Spaces (for deployment)

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🚀 How to Reuse or Extend

• Clone the repo and open the notebook
• Train with your own image data or fine-tune the model
• Deploy your own version with Gradio in Hugging Face Spaces

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🙋‍♂️ Author

Aayan Ali
📧 aayanali1065@gmail.com 💼 LinkedIn | GitHub

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⭐️ Show Your Support

If you found this project helpful or interesting, feel free to star ⭐ the repo or share the live demo!