The more computational back-end work for Droplet was written in Python and tunneled to the Firebase server and mobile app with the ngrok platform. The Flask server handles:
- Detecting leaks by analyzing user data with a Local Outlier Factor algorithm
- Predicting rain with a custom LSTM model
Droplet is a mobile application that uses a suite of machine-learning technologies to conserve household water usage by
- Providing real-time usage and cost estimates w/ DropWatch Smart Meter
- Detecting leaks using machine learning
- Analyzing and generating personalized tips on how to save water
- Predicting rain with a custom LSTM model
- Monitoring rain collection w/ DropStore Smart Sensor