Inspiration
Climate is changing rapidly due to global warming. This project aims to create an interactive platform that enables users to explore climate change impacts through natural language queries.
What it does
It lets user ask question about climate and allows them to explore climate change impacts.
How we built it
It fetches and stores NASA GISTEMP Global Temperature Data in MongoDB and creates embeddings from data. Upon user query, it performs a vector search and fetches the appropriate data. The data and user query is then used by Google Gemini to give response to user and also displays it as a chart.
Challenges we ran into
MongoDB vector search took some time but at the end it was my mistake of not properly formatting the data.
What we learned
MongoDB vector search
What's next for ClimateLens
Support country-level and city-level anomaly views.
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