Project tech stack: what technologies were used, why they were chosen, and how each component is integrated.
Machine learning concepts: why a particular model was used, why not choose other models, and how model performance was evaluated.
Adoption of new technologies: whether new tools or technologies could be applied to the project, how they can be integrated, and how they would improve the system.