The Stroke Classification App is a Flutter mobile application designed to assess the risk of stroke based on various demographic and health-related factors. It provides a user-friendly interface for inputting parameters such as age, BMI, glucose level, gender, hypertension, heart disease, marital status, work type, residence type, and smoking status. These parameters are used to classify the likelihood of a stroke occurring using a machine learning model deployed on an API endpoint.

• User-friendly interface for inputting stroke risk parameters.
• Real-time stroke risk classification using a machine learning model.
• Support for both light and dark themes.