Plamo: Pla - nt Mo - tivation using Image Analysis

Logo for Plamo

Inspiration

We were inspired by a game known as Finch, which is used to encourage self help and productivity through a fun game with a bird pet. We adapted this game style motivational tool to promote the completion of certain tasks, specifically to assist with waking up and getting ready in the morning.

What it does

Our application allows users to submit proof of completion of tasks, which is then put through an image analysis tool to verify the validity of the image. After the image is verified, the user sees a tree grow on the screen and a new task is given.

How we built it

The core of our project was the image analysis for verification, which was coded purely in TypeScript. The image analysis was achieved using contrast points and Hausdorff distance. We used JavaScript and React Native to construct an appealing user interface. One of our members created all the pixel art.

Challenges we ran into

Our project is unfinished, and the image analysis is not functional. We faced hardship completing the image analysis algorithm in 7 days as well as gathering sufficient training images. Ultimately we ran out of time despite working extremely hard in the last three days.

Accomplishments that we're proud of

We were particularly proud of using React Native combined with simulating it using Expo Snack to visualize our project. We were also proud of our image analysis, but it was unfinished, causing the main function of the app to not work.

What we learned

We learned to not procrastinate as much, and to split up tasks to our strengths to ensure maximum efficiency.

What's next for Plamo: Pla - nt Mo - tivation using Image Analysis

The next step for Plamo is to finish the image analysis, integrate it with the main function of the app, and include more tasks for more accessibility to the public. We are also thinking of expanding it to other platforms, such as iOS and Web.