Beau Hayes-Pollard

Natalie Huang

Jesse Lee

Meghna Pillai

Lisa Leung

Justin Chung

Shreyan Mitra

Nitin Bhavanam

Bit Heroes

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We hosted our first ever BitCamp with 8 talented high school students from across the United States. BitCamps are 5-8 week software engineering bootcamps for high school and college students who want to explore various careers in tech. Students work with mentors from prestigious institutions and seasoned engineers from the industry to learn about cutting edge technology.

Bit Project partnered with Microsoft Azure, mentoring bright high schoolers to create fun, open-source projects with Azure Functions. From Heartbeat Monitors using Azure IoT Hub to Song Recommendation Engines using Azure Cognitive Services, each student delivered a lightning talk at our webinar and published a step by step tutorial with mentorship from a Microsoft Developer Advocate, Chloe Condon.

HeartRate Monitor with Azure IoT Hub

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Beau Hayes-Pollard

Brookline High School, Class of 2022

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As Beau loves to demonstrate, you can get your heart rate up in a hurry with just a few jumping jacks. Keeping track of this is exceptionally helpful to those working out or going about their day, as is demonstrated by the rise of FitBits and other tools in the space.

This project uses Azure IoT Hub to trigger an Azure Function when a resting heart rate above 100 bpm is detected. The function uses the Twilio API to send a warning message to the user's inputted contacts, ensuring that appropriate actions can be taken quickly. Beau got a chance to learn about technology and build his own ingenious, cheap, and easy-to-use health monitoring tool through the Bit Heroes program.

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Upload Your Face. We pick the songs.

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Natalie Huang

Los Altos High School, Class of 2020

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If you've ever considered how a mood can change your music tastes, we wanted to use that to create an exciting software development experience. Natalie built an app that recommends songs based on a picture (tagline: Upload a selfie. We choose the songs).

This app allows users to submit a picture of their face and analyze their current mood. Based on their mood, it will recommend 10 personalized songs, and optionally create a playlist in the user’s Spotify account. Taking advantage of both the Microsoft Face and Spotify API's, this was a truly impressive project!

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