This is a simple AI-powered disease prediction system built using Python, TensorFlow, and Streamlit.
It allows users to select the type of disease, upload a medical image, and get predictions from trained deep learning models.
- Dropdown menu to select disease type:
- Brain Tumor (glioma, meningioma, pituitary, normal)
- Pneumonia/COVID-19 (pneumonia, covid-19, normal)
- Lung Cancer (benign, malignant, normal)
- Tuberculosis (tuberculosis, normal)
- Eye Diseases (diabetic retinopathy, cataract, glaucoma, normal)
- Breast Cancer (benign, malignant, normal)
- Image upload and instant prediction
- Identifies if the case is healthy or diseased
- If diseased, shows the specific class with the confidemce score
- Clean and responsive web interface built with Streamlit
- Python
- TensorFlow
- PIL for image processing
- Streamlit for frontend deployment
- Hugging Face Hub for model hosting
Monalika Doda