Inspiration

When trying to find a way to connect with the nature journaling community here in Manhappiness, KS, often times, those communities are states away or required membership to an organization. Why not make nature journaling more accessible while also supporting nature and science?

What it does

Nature Doodle is a social media app for natural journalists at all levels to upload their doodles and other nature observations.

How we built it

We built Nature Doodle with the idea of creating an app that was community oriented using different technologies like React, Nextjs, and Tailwind. Using Nextjs allowed us to handle both frontend and backend logic efficiently. We styled the user interface with Tailwind CSS and used Clerk for easy authentication. React components allowed us to create reusable and dynamic interfaces that helped development efficiency. By dividing our team between frontend, backend, and design we were able to complete objectives and test our website efficiently.

Challenges we ran into

Everything....and using Git as a team was the team's biggest challenge. Our biggest roadblock was our team using Git and GitHub for the first time in a collaborative environment. Once we were able to manage using GitHub branches and learning the different Git commands, we were able to put all our work together.

Accomplishments that we're proud of

Our biggest achievement was the finished product and being able to see all of our hard work in action. Meeting new people and creating something awesome has been really rewarding!

What we learned

Two of our teammates were exposed to what've lovingly coined "Javascript witchcraft," and all kinds of funky languages. We got to learn how to work in a coding team environment and how valuable Hack K-State is to obtaining workforce ready skills.

What's next for Nature Doodle

The future of this project would be adding more interactive features, improving content sharing, and overall improvements brought up by users. Connecting to iNaturalist's API that could support species prediction and feeding data back to iNaturalist, who says "Every observation can contribute to biodiversity science, from the rarest butterfly to the most common backyard weed."

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