Machine Learning Model: The trained model capable of making predictions or decisions based on input data.
Model Evaluation Report: Detailed analysis of the model's performance, including accuracy, precision, recall, F1-score, and other relevant metrics.
Source Code: The complete source code for the project.
Model Deployment Plan: A roadmap for integrating the model into the client's existing systems or applications.