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Projects/2-Intermediate/Predicting-Diabetes.md

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+# Predicting Diabetes
+
+**Tier:** 2-Intermediate
+
+
+Predicting diabetes using machine learning involves the construction of a model that can effectively analyze various health indicators such as glucose levels, blood pressure, BMI, and age, in order to predict whether an individual is likely to have diabetes. 
+Popular ML libraries like scikit-learn in Python can be utilized for implementation, and platforms such as Google Colab and Jupyter Notebook can facilitate the development process.
+
+## User Stories
+
+-   [ ] User can input the values of their glucose levels, blood pressure, BMI, and age
+-   [ ] User can input the values of their blood pressure, BMI, and age
+-   [ ] User can input the values of their BMI
+-   [ ] User can input the values of their age
+
+
+## Bonus features
+
+-   [ ] User can be provided with personalized health tips and recommendations based on their input data and prediction results. 
+-   [ ] User can be offered features for setting reminders for regular health check-ups, medication schedules, or other essential tasks related to diabetes management. 
+
+## Useful links and resources
+
+[Analytics Vidhya](https://www.analyticsvidhya.com/blog/2022/01/diabetes-prediction-using-machine-learning/)
+[Science Direct](https://www.sciencedirect.com/science/article/pii/S1877050920300557)
+
+## Example projects
+
+[MySugr Website](https://www.mysugr.com/en/)
+[Diabetes Prediction](https://github.com/Aditya-Mankar/Diabetes-Prediction)