Explore ClimaScale and discover its features.

The genesis of ClimaScale was fueled by the general populace's limited self-awareness regarding their individual contributions to carbon emissions

ClimaScale is engineered to process user-provided data and compute an estimated monthly carbon footprint. The output page delineates the user's annual carbon footprint and contextualizes it by juxtaposing it against various global benchmarks, encompassing low, average, and high emission metrics per capita.

The development of ClimaScale was executed utilizing an array of technologies including JavaScript, HTML, CSS, and React. Key integrations comprised React-Icons, React-Router, and a custom ContextProvider React Hook. Additionally, ChatGPT was employed to generate a comprehensive data object for calculating carbon emissions from diverse sources.

• The project encountered complexities in reconciling disparate measurement systems for carbon emissions (Lbs, Tons, etc.).

• In-depth understanding of carbon footprint metrics and their significance.
• Strategies for reducing carbon emissions through incremental lifestyle adjustments.

• Integration of a backend system to facilitate data storage, user accounts, and interactive user engagement.
• Development of an API to further enhance the application's capabilities.