# Building the ultimate morning dashboard with Gemini 3.6 Flash and Nano Banana

## Executive summary

The video details a personal project—an automated, image-based dashboard displayed on an e-ink picture frame—designed to help families manage daily routines. The system leverages Gemini 3.6 Flash and Nano Banana to intelligently generate visual reminders (e.g., suggested clothing based on weather and calendar events), significantly reducing morning friction. The entire process is scheduled nightly using AntiGravity, making the complex AI workflow accessible even to non-professional developers.

## Key takeaways

- AI-Powered Daily Dashboard: The system functions as an image-based calendar that suggests appropriate clothing and items for kids based on scheduled events and current weather conditions, displayed on an e-ink screen.
- Automated Workflow Design: The process is automated nightly at 1:00 AM using AntiGravity. A script checks the Google Calendar and weather data, generating a prompt for Nano Banana to create an image.
- Model Selection Rationale: Gemini 3.6 Flash was chosen for its combination of intelligence, speed, and low cost, which is critical for a system running daily.

## Technical details

- System Architecture: The workflow involves: Google Calendar (source of events) $\rightarrow$ Script (checks calendar/weather, creates prompt) $\rightarrow$ Nano Banana (image generation) $\rightarrow$ E-ink Display (output). The intelligence layer is provided by Gemini.
- Advanced Feature: Glance Board: A feature called 'Glance Board' pulls email overnight, and Gemini 3.6 Flash intelligently extracts potential forgotten events from the messages.
- Development Accessibility: The use of AntiGravity in conjunction with Gemini simplifies development, allowing non-professional programmers to implement complex automation and add features easily.

## Practical implications

- Demonstrates a robust pattern for integrating IoT devices (e-ink frame) with cloud AI services (Gemini 3.6 Flash) and scheduled automation tools (AntiGravity).
- Provides an example of using LLMs not just for text generation, but for structured data extraction (email events) and prompt engineering for image synthesis.
- Highlights the viability of low-cost, high-frequency AI operations by selecting efficient models like Gemini 3.6 Flash.

## Topics

AI Integration, IoT Dashboarding, Gemini API, Automation (AntiGravity), Open Source Development, Open Source Guide, Google AI / Gemini Documentation

Source: https://www.youtube.com/watch?v=cBBWorSU0P4