A few weeks ago, Max van Duyne was in a bad place mentally. He felt anxious and depressed; laying awake at night criticizing the smallest mistakes and negative personality traits. He wanted to seek professional help, however he moves often and had a bad experience with tele-therapists in the past. That’s when he developed the idea. A self-therapy app, powered by machine learning, that analyzes and displays his thoughts and emotions more clearly than he can internally.
At TreeHacks 2020, he met Kelly Chan, a data science student from UC Davis. She met Max at his challenge and they both dove into the unknown, creating what is now known as Open Book.
What it does
A person navigates to the Open Book and enters a journal entry on the home page. From there, natural language processing scrubs the entry for sentimentality, labelling the document and each sentence as positive, negative, or neutral. This allows the person to see how they are feeling if they don’t fully know themselves.
How we built it
Challenges we ran into
Accomplishments that we’re proud of
We were able to create a minimum viable product, which includes web app with hosting, a working journal entry box and functional natural language processing.
What we learned
We learned a lot. We learned about Microsoft Azure, Python, natural language processing, HTML, CSS, Flask apps, JSONs,
What's next for Open Book
Since our submission is only the minimum viable product, we still have a lot to go. Potential next steps for Open Book Include: *Language and keyword detection from Azure Cognitive Services *Timed journal writing *Improved UI/UX *Timestamps and historical data *Timelines *Improved data visualization *Regular expressions, leading to improved pattern matching