Inspiration
I have Mark 1 and 2 of this project completed in the past. Nothing nearly as complex as this project.
What it does
Track weather readings from your sensor set up and compares that data to a public weather API that gives weather data depending on location. Compares the 2 to give specific predictions on the weather on that given spot of interest. Works wirelessly and has a mobile app that is consumer friendly.
How we built it
Working for 14 hours straight. And a ton of troubleshooting. Had to borrow my friend's laptop since I didn't have my own.
Challenges we ran into
Server connection issues, janky UI, sensor misreads, forcing innovation with the limited supply of hardware supplied by the event.
Accomplishments that we're proud of
One man show baby!!!! And it works.
What we learned
Everything. How to use APIs, mobile app development, how to connect with servers, how to use Ai effectively..etc
What's next for AEGIS
Mark 4, more sensors and a ESP32 camera that displays on the app. And no ELEGOOR3, replacing it with an ESP32
Built With
- aegis-server
- android
- android-studio
- arduinoide
- breadboard
- c++
- chatgpt5.5
- commandterminal
- dht11
- ds18b20
- elegoor3
- jumperwires
- mobilehotspot
- oledminidislay
- openmetero
- raindropsensor
- resistor
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