Activeme is an app designed to optimize exercise habits by using weather data to predict calorie burn based on conditions like temperature and precipitation. The app employs a predictive algorithm utilizing k-nearest neighbor regression to provide users with activity predictions and goals. It extracts fitness and weather data through multiple APIs and classifies activity data by day of the week for enhanced user insights.