Inspiration
Inspiration We decided to come up with an allergy forecast app because we've seen alot of people deal with pollen and airquality issues. Anjali came up with the idea of naming it "Bee-Healthy" because of the bee + the whole pollen pun.
What it does
It gives you the pollen and air quality updates based on your location. Gives you allergy tips. It can break down how many of grains/m³ each pollen has in real time. It can give you the air quality details, and it also gives you a forecast. Gives you a graph of the pollen levels over time, air quality trends, UV index or dust. There's also an ai assistant to help you interpret the data. It also has a calender that gives you an overview of what the pollen level will look like in the next few months. You can also share it with your friends!
How we built it
We used HTML, CSS, JavaScript, Json, and Chart.js.
Challenges we ran into
I, Anjali, helped with the backend, and also worked on making a ML model for the app, but was unable to find any existing datasets with enough data for predicting pollen-related respiratory diseases.
Accomplishments that we're proud of
It's UI is clean and the app is working properly.
What we learned
How to create charts using chart.js Learned a little bit about connecting the back and the frontend Learned how to create a chatbot Learned a lot about Web Development especially Javascript(like basics using if statments for the chatbot or creating a typing indicator function) and CSS Learned how to search for stuff we needed to build online.
What's next for Bee-Healthy
We are hoping to make changes to the UI and are thinking about how to improve the project further.
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