Model Creation with CreateML:

• EarthGuard utilizes CreateML to develop machine learning models.
• CreateML simplifies the process of training models using user-provided datasets.
• Models are tailored to specific tasks such as predicting CO2 emissions and water/sanitation scores.

Prediction with CoreML:

• CoreML integration enables efficient prediction within the EarthGuard app.
• CoreML's optimized performance ensures fast and accurate predictions.
• Users input relevant data, such as car details or country-year combinations, for predictions.

User Input and Interaction:

• Users interact with EarthGuard by providing input for prediction tasks.
• Input parameters vary based on the prediction task, such as car details or country-year combinations.
• EarthGuard's user interface guides users through the input process for seamless interaction.

Environmental Awareness and Sustainability:

• EarthGuard's core objective is to promote environmental awareness and sustainability.
• By providing insights into CO2 emissions and water/sanitation scores, EarthGuard empowers users to make eco-conscious decisions.
• The app's continuous improvement reflects its commitment to advancing environmental consciousness and sustainability efforts.