Pneumonia Detection using AlexNet (Google Colab + Gradio)

This project builds a Pneumonia Detection system using a modified AlexNet CNN architecture. It uses the Chest X-Ray Images (Pneumonia) dataset from Kaggle and runs entirely on Google Colab with a Gradio-based web interface for real-time predictions.

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🧠 Model Overview

• Model: AlexNet (Custom implementation using PyTorch)
• Dataset: Chest X-Ray Images (Pneumonia)
• Interface: Gradio for real-time predictions
• Environment: Google Colab

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🗂 Dataset

• Source: Kaggle Dataset Link
• Type: Chest X-Ray images (Normal and Pneumonia)

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📦 How to Run (on Google Colab)

✅ Step 1: Open Notebook in Google Colab

✅ Step 2: Upload Kaggle API Token

1. Go to Kaggle Account
2. Scroll to API section and click "Create New API Token"
3. A file named kaggle.json will be downloaded
4. In the Colab notebook, run the following cell and upload kaggle.json: