Customer segmentation analysis using K-Means clustering in Python, including full EDA, bug fixes, and business insights.

Real-time facial emotion detection system using Convolutional Neural Networks (CNNs). Trained on FER2013 dataset with 7 emotions, includes GUI application for webcam emotion recognition.

This Streamlit application leverages a machine learning model to predict diabetes risk based on individual medical history and demographic information. By analyzing factors such as age, gender, body mass index (BMI), hypertension, heart disease, smoking history, HbA1c level, and blood glucose level, this application assists healthcare professionals