About FaceMark:

People’s Choice winner and First Runner-Up

FaceMark, built by Anshuman Agarwal, is a real-time video solution that can take student attendance in a classroom using contactless face recognition, so no one has to handle the same sign-in sheet. It was built with RedisAI, RedisGears, RedisTimeSeries, and Tensorflow.

Anshuman said this hackathon was his first time using Redis, and that he began the process thinking that advanced Redis features, like Redis Streams and Redis modules, would be extremely complicated. To his surprise and delight, that was not the case. “I built the first prototype of my architecture using Redis Streams and RedisGears within two to three hours of reading for the first time what they are,” he says. “I truly believe Redis has come a long way from what it’s known for, and the submissions in this hackathon are a true demonstration of the super powers Redis has.”

Notes:

“What’s your history with Software development?” (1:45)

“How did you get started with Redis?” (2:25)

“How did you find out about the Hackathon?” (3:00)

“Can you give a quick intro of what you built and your experience building it with Redis?” (5:40)

“How did Redis help speed up your development?” (6:10)

“How did you arrive at your process of recognizing each person's specific face?” (10:00)

“Did you create the AI Layers?” (12:40)

“What Machine learning library are you using?” (13:30)

“What are you working on now?” (14:20)

“What is coming that you are excited about?” (16:30)

“What technologies are you excited about?” (18:25)

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