Inspiration
As climate change continues to be a relevant problem in society, large scale corporations hold a relevant influence in the development of a more sustainable future. Our project focuses on assisting corporations in finding suitable places for the establishment of wind or solar farms.
What it does
Aneious takes longitudinal and latitudinal subsection of data from the Nasa climate data API, user input, and a Gemini AI model to create a interpretation of the climate data, technological / physical constraints, and costs of creating a renewable energy source. Through this, companies are given a more complete analysis, with the model capable of comparing local ordinances, land costs, grid access, and climate data.
How we built it
We used Gemini Ai as the base for the chat bot, Cesium ion for the interactive map, and a combined html/css/js/python website - which includes information on specific tools and how to use them.
Challenges we ran into
During this project, time was a big constraint. We focused our time on chatbots, while also getting acclimated to the competitive environment. If given more time, we would be able to develop a much more interactive and useful map.
Accomplishments that we're proud of
We were really proud of how well our chat bot assistant performed, it is capable of very specific and helpful analysis. This went past our expectations of what we could do in the time period. Ui in some sections was quite well done; despite its room for improvement.
What we learned
We learned the importance of time management and also the beauty of emerging AI technologies.
What's next for Aneious (Conoco Phillips track)
We would like to expand our product to be more interactive in maps, as well as integrate other renewable resources, such as hydroelectric, for example. This could be mapped with water levels in an area and the energy output as a result. Additionally, we would like to build on optimization costs, to further aid companies in choosing renewable development as their future.
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