Day 3 is dedicated to deep, hands-on development as participants transition from foundational learning to intensive solution building using Google AI products. Building on the knowledge gained on Day 1, attendees will form teams and begin developing real-world, AI-powered solutions that address practical challenges across areas such as education, health, productivity, finance, and campus life.

The day begins with problem selection and solution mapping, where teams clearly define the challenge they want to solve and design how AI will power their solution. Participants will then dive into development, leveraging Google AI tools such as Gemini APIs and Firebase integrations to build intelligent features into their applications. Throughout the session, mentors will provide technical guidance on:

1. Structuring AI-powered workflows

2. Optimizing prompts for better outputs

3. Integrating APIs effectively

4. Improving user experience and interface

5. Testing and refining AI responses

This is a focused build sprint designed to simulate real-world product development. Teams will collaborate, iterate, troubleshoot, and refine their ideas into functional prototypes.

By the end of Day 2, each participant will have a working Minimum Viable Product (MVP) powered by Google AI, ready to be refined and presented during the conference Day.