Power meter took a video, and later a live stream from a webcam, of a lifters workout and measured the amount of work being done. I used react.js, tensorflow.js, and a custom webpack plugin to first build a testing platform for model accuracy and later build an app that streamed the webcam and statistics about the workout.
Greenhouse monitoring hardware and software that used images collected from a raspberry pi to analyze plant growth. Farmers were given a dashboard to monitor plant growth over time.
3 Farmers signed up for a private beta that ran from 2018 to 2019.
Firebase + Angular application for connecting delivery drivers to customers in an easy and simple workflow. Drivers get an app with a couple buttons to update the customer on their location, automatically sending an ETA. Customers get emails with updates and a link to a real time view of where the driver is. Managers get a dashboard with all ongoing routes and alerts for routes that are behind schedule.
Plate IQ processes invoices for restaurants using a combination of machine learning and data entry people. The backend has a data pipeline that combines machine learning and manual data entry. I was the lead developer for the front end that allowed the data entry team to process the invoices. It included: