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Developed a machine learning model to predict the risk of dementia based on lifestyle and health-related factors such as age, sleep duration, physical activity, alcohol use, and medical history. The model was trained using Python with libraries like Pandas, Scikit-learn, and Matplotlib, and achieved accurate results through data preprocessing and model tuning. I also created a user-friendly interface using tkinter, where users can input their lifestyle details and instantly get dementia risk predictions. The application helps promote awareness and early risk assessment.