This is a web application that helps users to determine their wellbeing based on various health parameters. The application also provides predictions for specific diseases based on symptoms and diagnostic images with a high accuracy rate.
- User-friendly interface
- Predictions for various diseases
- Brain stroke (97% accuracy)
- Heart attack (95% accuracy)
- Diabetes (85% accuracy)
- Tuberculosis based on chest X-Ray images (95% accuracy)
- Prediction of diseases based on symptoms with 100% accuracy
- Created using HTML, CSS, Streamlit
- Deployed on the streamlit cloud
This project is created using the following tools and technologies:
- HTML
- CSS
- Streamlit
- Python
- TensorFlow & Keras
To use the application, simply go to the web app's URL and enter your health parameters or upload your chest X-Ray image. The system will analyze the data and provide you with a prediction for any potential diseases.
The application was created using HTML, CSS, and Streamlit, and it is deployed on the cloud. You can access the web application through the following link: https://rb.gy/7pms3x