Inspiration

Our project was inspired by the rising popularity of BirdBuddy to motivate people to go outside and get in touch with nature. We want all the features of BirdBuddy, but portable and usable wherever you are. We also wanted to use these features to make users more cognizant of climate change by seeing how species populations change over time.

What it does

We display the user's current location on a map, along with recent sightings of nature (e.g. animals, birds, insects, plants, etc.) in that area. Users are given the option to upload their own

Users are notified if one of their favorited species was found nearby. Additionally, users can make a report if some natural disaster has occurred in the area to alert other users and initiate potential evacuations for endangered species.

How we built it

Our tech stack:

  • front-end: React Native
  • back-end: Flask
  • database: MongoDB

Using Apples Maps via Expo, we're able to display the user's current location on the map and place a bunch of other labelled markers. For processing images from a user's camera/library, we use Gemini's 2.0-flash to identify what's contained within the image and IMGBB for storing images for later use and fetching.

Challenges we ran into

Due to the requirements of Google OAuth and its redirects for sign-in, we had to start using an iOS simulator with XCode to run our application. However, iOS simulators don't have access to device cameras – which left us a little stuck. Given more time, we might've been able to figure out a perfect resolve where camera access and Google OAuth works regardless of what you're running the app on – but we decided to just let users upload images from their device from their given location. We also kept burning through our Gemini credits.

Accomplishments that we're proud of

The 24-hour time limit imposed a lot of challenges on us, but we're happy with our working product still. Everyone learned something new from this experience, so we had a good time overall.

What's next for Climacs

Addressing issues with using the camera would be our number one priority. From there, we'd like to flesh out our pre-existing features more.

Prizes to be considered for

  • Grand prizes
  • Best Use of Responsible AI
  • Most Likely to Become a Startup
  • Best Hack by Women In Tech
  • Best Graduate Hack

Our team and years

  • Audrey Ostrom, Computer Science
  • Sachin Jain, Computer Engineering
  • Jose Chavez, Computer Science
  • Adelie Plumasseau, Information Systems
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