Blake Barrett

Snse is a simple app to track your mood, capture your thoughts, track your water consumption, or be your color palette.

How often have you thought, "I should journal more." but never get around to it; or when you do, have trouble articulating your thoughts into words.
I wanted a way to capture some of the less articulate sentiments.

SNSE: Android, iOS, macOS (2018, 2019, 2020)
Snse is a mental health mood tracking app where you can express yourself through color as well as words. When I get flustered, I sometimes find it difficult to find the right words to convey how I may be feeling. Snse tries to short-circuit that by allowing other parts of your brain to express. Describing anything in words relies on your prefrontal cortex and language center; picking a color happens in your visual cortex. I hope to add additional… Show more

SNSE: Android, iOS, macOS (2018, 2019, 2020)
Snse is a mental health mood tracking app where you can express yourself through color as well as words. When I get flustered, I sometimes find it difficult to find the right words to convey how I may be feeling. Snse tries to short-circuit that by allowing other parts of your brain to express. Describing anything in words relies on your prefrontal cortex and language center; picking a color happens in your visual cortex. I hope to add additional regional expressions in the future.
Snse is a native codebase written Swift for iOS and macOS with the help of mac Catalyst. Show less

* Fun project reimplementing the minimalist set of features available on the Android and Windows Phone platform.
* Designed the user experience (not much there)
* Entirely written in Swift 2
* Universal App for iPhone and iPad.
* Source available here: https://github.com/blakebarrett/mskr-swift

* Developing features
* Fixing bugs
* Addressing customer feedback

* Maintain legacy JavaScript desktop app running in an Adobe AIR wrapper.
* Add features and unit-tests as needed.

MOSADA: Flutter web (2021)
Mosada was a "chat with AI" app written entirely in Flutter 2.0 in response to the SAAI Factory Hackathon, by using OpenAI's GPT-3 API.
The idea was to create a chatbot that would be not only respond to the user's input, but also use color as an additoinal signal to the user.
A video explaining the project was uploaded to YouTube and can be found here: https://www.youtube.com/watch?v=SIDJM0sFxok

SPDO: Flutter Android, Flutter iOS (2021)
In an attempt to learn Flutter end to end, I created a simple app that uses Flutter framework as well as a few open source libraries to make a simple GPS app. App was built using Flutter 2.5, Dart 2.2 and is available on Google Play as well as the Apple App Store.

SQCH: iMessage, Android, Signal Messenger (2021)
In an effort to merge my main two interests of software engineering and making art every day I drew a number of "stickers" for use in online discourse and created the Sensual Sasquatch sticker pack. With those assets I created an iMessage Sticker Pack app, a Signal Messenger sticker pack, and a stand alone "sticker pack" for Android as well as integrating with the GBoard keyboard though the use of Firebase's App Indexing services.

The Projector SDK allows mobile app developers to get the benefits of Projector's platform, with minimal integration effort.

* Came up with the idea for the app.
* Drafted a product roadmap.
* Designed interface.
* Developed all functionality.
* Source available here: https://github.com/blakebarrett/mskr-android
Currently has a 4-star rating.

* Came up with the idea for the app.
* Drafted a product roadmap.
* Designed interface.
* Developed all functionality.
* Source available here: https://github.com/BlakeBarrett/mskr-windows-phone

Released to the Windows Phone store in April 2014 and currently have *54,000* downloads world-wide with a 3.5 star rating.

Started the project based on an argument that lead to a bet.
My role included hacking Canon digital cameras to run the CHDK as well as all other imaging based decisions: which lenses to use, which cameras, which frequencies of light we were capturing, exposure, etc...
Gave presentations about the project and our findings at:
* Google's Mapping group
* NASA's Yuri's Night event
* Maker's Faire