Inspiration
Every year Georgia gets a ton of pollen that sticks to everything, especially cars. We built PollenGuard so that people know the most efficient time to get the pollen off of their car for pollen season so that they can conserve water.
What it does
PollenGuard is a data-driven tool that helps automotive fleet operators and normal people optimize vehicle wash scheduling based on air quality and pollen counts.
How we built it
We built PollenGuard with Streamlit and python and its powered by live environmental data ( Open-Meteo Air Quality API, Open-Meteo Geocoding & Reverse Coding API) and AI-generated explanations (Google Gemini API, PollenGuard reduces unnecessary washes, saves water, and improves fleet presentation efficiency.
Challenges we ran into
A problem that we ran into was it was our first time working collaboratively on a shared git hub repository. We stuggled at first with pushing at the same time and with figuring out how to distribute work equally and efficiently. After some trial and error and online tutorials we over came the issue and ended up working more cohesvily as a group. Another issue we ran into as a group was the front end of our project. We wanted a simple and streamline experience for the user but werent sure what we should use. We settled on streamline as it seemed to fulfill what we were looking for.
Accomplishments that we're proud of
We are very proud of completing our first hackathon and also for making something that can help conserve water.
What we learned
We learned how efficiently a project can be completed if we work cohesively as a group.
What's next for PollenGuard
We want to make a mobile app that goes along with PollenGuard and update the UI.
Log in or sign up for Devpost to join the conversation.