Inspiration
Organizations want to reduce their carbon footprint, but their data is scattered across electricity bills, departments, and locations. We were inspired to build a tool that turns this fragmented data into clear insights that decision-makers can actually act on.
What it does
CarbonCue is a carbon footprint analytics dashboard that lets organizations upload electricity consumption data, automatically calculate emissions, visualize trends, compare performance over time, and receive actionable recommendations to reduce their carbon impact.
How we built it
We built CarbonCue using HTML, CSS, and JavaScript. The system supports CSV uploads for electricity data, processes emissions using standard emission factors, and displays interactive charts and comparisons through a clean, intuitive UI designed for quick understanding and decision-making.
Challenges we ran into
The biggest challenges were designing a data format that is simple yet flexible, ensuring accurate emission calculations, and presenting complex sustainability data in a way that is easy to understand for non-technical users.
Accomplishments that we're proud of
We successfully built a working end-to-end platform that converts raw electricity data into meaningful carbon insights, complete with visualizations, comparisons, and recommendations—all within a short hackathon timeframe.
What we learned
We learned how critical good data visualization and UX are when dealing with sustainability metrics, and how even simple datasets can drive powerful insights when structured and analyzed correctly.
What's next for CarbonCue
Next, we plan to add support for more emission sources (transport, waste, supply chain), real-time IoT integration, industry benchmarking, and AI-driven predictive recommendations to help organizations proactively reduce emissions.
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