This web application predicts the likelihood of an individual developing diabetes based on various health parameters using Support Vector Machine (SVM) algorithm. It is deployed using Streamlit.
Input user data such as age, BMI, blood pressure, and glucose levels. Predict the risk of developing diabetes using SVM. User-friendly interface for easy interaction.
Python Streamlit scikit-learn
Clone the repository Install dependencies: pip install -r requirements.txt Run the application: streamlit run app.py Open the URL provided by Streamlit in your browser.
The application is deployed using Streamlit. You can access it here
Earlier one = https://ml-project-2-diabetespredictionwebapp-44rgkbp7odkbzjcmyl94ki.streamlit.app/
Improved = https://ml-project-2-diabetespredictionwebapp-fwe2ejnzkx44xh2kgjh5y3.streamlit.app/