DEV Community

Cover image for Sust: Inspiring Sustainability Through Artistic Transitions
Viral News
Viral News

Posted on

3 3 3 3 3

Sust: Inspiring Sustainability Through Artistic Transitions

Sust: Empowering Sustainability with Google 3D Maps

What I Built

Sust is an interactive web app designed to promote sustainable living by analyzing and visualizing:

  • Air Quality Data: Assess pollution levels and pinpoint areas with clean air.
  • Solar Data: Identify locations with high solar energy potential for renewable energy projects.
  • Green Spots: Locate eco-friendly spaces such as parks and forests within urban areas.
  • Walkability: Analyze city walkability to encourage active and car-free lifestyles.

Using Google 3D Maps, the app displays these datasets in an intuitive, visually appealing way, empowering users to make eco-conscious decisions and explore urban sustainability in depth.


Demo

Check out the Sust demo in action:

YouTube Video Demo


Repo

Explore the source code and documentation on GitHub:

GitHub Repository


website url

Test project here:

GitHub Repository


Screenshots

1. Home Screen

The landing page displays an interactive roadmap of cities with sustainability data layers.

Image description

2. Air Quality Visualization

Shows pollution levels across different locations, overlaid on Google 3D Maps.

Image description

3. Solar Data Overlay

Highlights areas with optimal solar energy potential using heatmaps.

Image description

4. Green Spot Mapping

Identifies parks, green spaces, and eco-friendly urban zones.

Image description

5. Walkability Analysis

Displays walkability scores for neighborhoods, encouraging car-free travel.

Image description


Copilot Experience

GitHub Copilot was integral to the development of Sust, assisting in multiple ways:

  1. Code Autocomplete: Simplified coding for Google Maps integrations and ensured smooth data layer rendering.
  2. Error Resolution: Provided real-time suggestions to resolve bugs, particularly with map overlays and API calls.
  3. Creative Insights: Helped prototype new ideas for visualizing complex sustainability data.
  4. Streamlined Workflow: Reduced time spent on repetitive tasks like API configuration and data formatting.

GitHub Models

I utilized claude-sonnet 3.5 to prototype and enhance the app's educational content, delivering contextual explanations about.


Conclusion

Sust leverages technology and data to create a sustainable future. By providing actionable insights on air quality, solar energy, green spaces, and walkability, it empowers users to make informed choices for a greener planet.

This project was made possible by GitHub Copilot, which greatly accelerated development and allowed me to focus on delivering a meaningful, impactful app.

API Trace View

How I Cut 22.3 Seconds Off an API Call with Sentry 👀

Struggling with slow API calls? Dan Mindru walks through how he used Sentry's new Trace View feature to shave off 22.3 seconds from an API call.

Get a practical walkthrough of how to identify bottlenecks, split tasks into multiple parallel tasks, identify slow AI model calls, and more.

Read more →

Top comments (0)

The Most Contextual AI Development Assistant

Pieces.app image

Our centralized storage agent works on-device, unifying various developer tools to proactively capture and enrich useful materials, streamline collaboration, and solve complex problems through a contextual understanding of your unique workflow.

👥 Ideal for solo developers, teams, and cross-company projects

Learn more

👋 Kindness is contagious

Please leave a ❤️ or a friendly comment on this post if you found it helpful!

Okay