README.md

🧬 Malaria Cell Classifier with Grad-CAM & Streamlit UI

A deep learning-based malaria detection system using ResNet50 and Grad-CAM explainability.

🚀 Features

• ✅ Binary classification of blood smear images (Infected / Uninfected)
• 🔍 Grad-CAM visualizations to highlight infected regions
• 🌐 Interactive Streamlit web interface
• 📦 Easy-to-deploy structure

🛠️ Built With

• PyTorch
• Streamlit
• Grad-CAM
• ResNet50

📦 Dataset

Uses the Malaria Cell Images Dataset

📁 Folder Structure

Place raw images in: data/cell_images/ ├── Parasitized/ └── Uninfected/

📷 Example Output

🧪 Usage

Train the Model

python notebooks/train.py