What it does

Thera.py is a comprehensive web-based platform connected to an AI assistant to support mental health professionals in delivering effective therapy and improving patient outcomes. Our goal is to assist therapists and their clients by providing a user-friendly interface that enhances information retention and confirmation, tracks progress, and offers valuable resources. With Thera.py, therapists can streamline their workflow and provide personalized care.

Inspiration

Meeting Hume AI and learning about their technologies really inspired our team. We recognized that Hume AI's technology could be used to enhance mental health support and improve the experience for therapists. We recognized the importance of data tracking and access to valuable resources in therapy and sought to create a platform that addresses these needs.

Key Features:

  1. Secure Environment: Thera.py ensures a secure and confidential space for therapists to review information collected by the AI assistant.
  2. Analytics and Insights: Data-driven insights from the AI assistant empower therapists to make informed decisions. The portal provides analytics and visualizations that reveal patterns and trends, enabling therapists to fine-tune treatment plans and improve therapeutic interventions.

How we built it

Thera.py uses cutting-edge technologies, including:

  • Web app development: React, Axios
  • Backend: Node.js, Express.js
  • AI APIs: Open AI, Hume AI
  • Security: user authentication

Challenges we ran into

During the development process, we encountered challenges in implementing the Hume AI APIs, as Hume AI is built with only Apple devices with the M1 chip in mind. Since most of our team consisted of Windows computers, implementing such API was difficult.

Accomplishments that we're proud of

We're proud to have created a robust AI assistant that can connect to a user-friendly portal where therapists can easily access insights. We successfully implemented data visualization tools that will help therapists in understanding their clients.

What we learned

Through the development of Thera.py, we gained valuable insights of data flow and understanding how Hume AI works. We learned how to integrate communication technologies and overcome technological challenges.

What's next for Thera.py

Our team is committed to expanding the capabilities of Thera.py. We plan to integrate more data visualization models to assist therapists in understanding their clients. We also plan to improve the data stream in our next iterations.

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