Studybreathe

Inspiration

Anxiety is a huge problem in today's youth with over 31.9% of adolescents having an anxiety disorder. This issue is prevalent, especially in schools where certain activities can cause increased anxiety. Teachers often want to help their students through an anxiety attack but a lot of people are too scared to ask for help or the teacher doesn't know when their students are anxious and what activities cause it. This is why we created Studybreathe, a platform that helps students calm down from anxiety attacks and lets teachers help them.

What it does

• Provide a calming guide if it detects that you're having a panic attack
• Lets teachers know if a student is anxious
• Notify you if you are showing signs of anxiety
• Lets teachers evaluate what activities cause their students to feel anxious
• Provide a voice and visually directed calming down process that is backed by research

How we built it

First, we used Posenet to train a machine learning model that detects anxiety through nervous ticks, facial expression detectors, etc from open-sourced datasets. Then, we implemented it on our website using javascript. Once a user is detected to be anxious, we'll play a guided calming down exercise which uses javascript, webspeech speech synthesizer, and AssemblyAI. Then this data will be sent to the teachers.

Challenges we ran into

We have a very limited time to connect all of the components and working together in extremely differen timezones, however we pulled through and successfully finished our project!

What's next for Studybreathe

We'll add more methods to calm down students such as through physical movements. The machine learning anxiety detection model could also be improved by accounting for personalized anxious indicators as everyone might show their anxiousness differently. We'll also have more features for the teachers to communicate and help their students.

References: https://www.nimh.nih.gov/health/statistics/any-anxiety-disorder https://www.medicalnewstoday.com/articles/326453#diaphragmatic-breathing https://www.dailymail.co.uk/sciencetech/article-10573847/Artificial-intelligence-model-detect-mental-health-conditions-Reddit.html https://bridges.monash.edu/articles/dataset/Anxiety_Phases_Dataset/15176082 https://www.brookings.edu/techstream/the-wellness-industrys-risky-embrace-of-ai-driven-mental-health-care/ https://www.google.com/amp/s/www.forbes.com/sites/forbestechcouncil/2020/11/25/five-tech-innovations-that-changed-mental-health-in-2020/amp/ https://positivepsychology.com/mental-health-exercises-interventions/ https://www.weforum.org/global_future_councils/gfc-on-mental-health/articles/these-are-the-top-10-innovations-tackling-mental-ill-health https://www.psycom.net/mental-health-care-solutions https://github.com/prouast/heartbeat-js https://www.washington.edu/news/2021/04/01/smartphone-computer-cameras-measure-pulse-respiration-rate-telehealth/ https://www.mdpi.com/1424-8220/21/15/5126/pdf https://www.kaggle.com/davidleeee/what-factors-predicts-someone-s-anxiety

Built With

• assembly-ai
• javascript
• machine-learning