JeeKay/Malaria-classification

🧬 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/

Here's a quick preview of the app in action:

[image]

🧪 Usage

🛠️ Requirements

Install dependencies:

pip install torch torchvision streamlit opencv-python matplotlib scikit-learn