Students will collaborate in pairs to conduct interviews or surveys to gather insights on user preferences and needs, analyze the data collected to identify trends, and synthesize their findings into a user persona to inform their AI model and app design.

Students will synthesize their research insights to define a clear problem statement, outlining the challenge their AI model and app will address, while incorporating peer and teacher feedback to refine their understanding and direction.

Students will brainstorm a range of creative app concepts that leverage AI models, collaboratively assess diverse approaches to integrating real-world datasets, and select the most promising ideas for prototyping based on effectiveness and community relevance.

Students will collaboratively develop a working prototype of a mobile app using App Lab, incorporating their designed AI model from AI Lab, to create a functional solution addressing real-world data integration questions along with receiving peer feedback for refinement.

Students will showcase their AI-driven apps by presenting their design and data choices to their peers, receiving feedback through peer and teacher evaluations, and displaying interactive posters around the school to validate their solutions and engage the wider community.