Built a low-power dashboard implementation using Raspberry Pi Zero WH and Waveshare 7.5" E-Ink display (800x480), mounted in a repurposed 5x7 frame. Aggregates data from multiple APIs to display calendar events, weather, market data, and sports information.

• Raspberry Pi Zero WH (pre-soldered headers required)

• Waveshare 7.5" E-Paper HAT (800x480, black/white)

• 5x7 photo frame (modified for component mounting)

• Standard GPIO ribbon connection

• 5V/2A power supply

• Waveshare EPD Python library for display control

• Google Calendar API (OAuth2 authentication)

• OpenWeatherMap API key (free tier sufficient)

• Football-data.org API token (free tier)

• Yahoo Finance API access (free)

• Python 3.7+ environment

Data aggregation occurs through multiple threads with varying refresh intervals:

• Calendar updates: 15-minute intervals

• Weather data: 60-minute intervals

• Market data: 15-minute intervals

• Sports updates: 1-day intervals

Display updates implement partial refresh for static elements while maintaining complete refresh cycles for critical data changes.

Multi-section information display:

1. Calendar (Top Left)

   • 24-hour event horizon

   • Time-sorted appointments

2. Weather (Top Right)

   • Current temperature/humidity

   • Air quality metrics

   • Short-term forecast

3. MUFC fixture (Center Left)

   • Upcoming PL fixture in local time

4. Market Data (Bottom Left)

   • Selected equity tickers

   • Percentage changes

   • Index tracking

5. Tech Updates (Bottom Right)

   • Tech news from TheVerge RSS feed.

• E-Ink refresh limitations: ~3-4 seconds/refresh, which is not terrible.

• API rate limits: Weather API calls are okay for personal use.

• Display artifacts: Managed through partial update scheduling

Current focus areas:

• Memory usage optimization

• Update cycle refinement

• Error handling improvements

• Display buffer optimization

• Commute delays

• Local events

• Home automation status

• Personal fitness/health metrics dashboard

• Todo list integration

What other data sections would you be interested in?

Are you interested in building one? After refining some code sections, I hope to publish the code and accept pull requests. Once I do that, I will update this section.