<aside> 💡 Hey! Thanks for paying a visit. I'm 16 and absolutely intrigued by the applications of AI in clinical diagnostics. Since October, I've been building a mobile app that can screen for various pulmonary diseases via cough recordings.

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Quick run-down of my project!

Lower respiratory illnesses are the second leading cause of death in rural Uganda. While up to 58% of patients in rural Ugandan clinics present with symptoms of respiratory illnesses, the shortage of trained medical staff and lack of diagnostic equipment causes the rate of under diagnosis to remain over 60%.

Our solution leverages machine learning to process cough recordings through a smartphone device and determine if a patient has either COPD, asthma, pneumonia, or tuberculosis. It takes advantage of supporting demographic and symptom metadata which is collected through a yes/no questionnaire to further the accuracy of the screening.

My current asks:

Intro video (both myself and the project!):

https://youtu.be/mmMKnAkK0Sk

Review Paper: Reforming COVID-19 testing to be faster, cheaper, and more accessible.

It's getting real!

A thrilling pitch at November's CASONxEVOKE IBM Conference!!

Untitled 2.mov

A more detailed breakdown:

PROBLEM MEMO - Why are we doing this?

Under diagnosis of respiratory diseases in Uganda

SOLUTION MEMO - How does it come together?

An AI-powered app to screen for respiratory diseases through cough recordings

Interface mock-ups:

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