Teen suicide has been on the rise for many years now. Since 2006, teens have been experiencing a 70% increase in suicide rates and a large increase in depression and anxiety. This crisis is something that needs to be address so as to ensure the health and safety of our population. If healthcare professionals have the tools they require to assist at risk individuals, maybe this epidemic can be slowed or even stopped.

What it does

Thoughtful therapy is an interactive experience for any user to spill their heart out. Our trained AI friend, Melanie, listens to what you say and always has a thoughtful response. The journal data that is entered can even interface with real healthcare professionals to provide more quality support based on daily emotion tracking.

How we built it

Lots of hard work and not a second of sleep. This was our first time building an application about something that hit so close to home. As a part of this generation we are experiencing a rapidly growing crisis in teenage suicide, depression and anxiety.

Challenges we ran into

Learning the google cloud suite was very challenging as we have never interfaced with it's technology and APIs before. Understanding the ins and outs of cloud technology was huge in completion of this project. We also wanted to focus on adhering to a design standard. Something that would be pleasing to look at and pleasing to use. Since this was neither of our areas of expertise, we were happilly suprised with how well it turned out based on the hard work and grit we put in.

Accomplishments that we're proud of

Jumping the hurdles of learning new technology. Providing a stunning application that we can greatly improve moving forward. Having the opportunity to provide a service to those in need.

What we learned

Tons of new technologies, and ways of providing a cohesive full stack application experience.

What's next for Thoughtful Therapy

Including event management and assisting users in getting out of the house and socializing. Providing insights to understand yearly progressions and find patterns in emotional stability or instability for healthcare professionals. Refining the machine learning models to better analyze and predict outcomes with higher degree of variability. Work with real healthcare professionals to understand better use cases and provide more useful dash boarding and AI responses. Build native mobile applications and release them to the public!

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