MAIT

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Inspiration

We were inspired by the trouble family members of team members had understanding the diagnosis and advise they received at doctor visits.

What it does

MAIT Translates doctors diagnosis and advice first into plain English then into the patients native language if necessary. This is a functioning MVP.

How we built it

We developed the app with React and Tailwind.css as FrontEnd and Python Flask as the BackEnd. For the Machine Learning aspect, we combined 4 different ML models (Whisper, GPT-4, mBart, and Eleven Labs)

Challenges we ran into

It was a challenge to connect all four AIs and get them working in unison

Accomplishments that we're proud of

We are proud to have built a functioning translation app that could benefit millions of people.

What we learned

We learning that inclusivity is a great place to start.

What's next for MAIT

Next will be to refine the app and get apps in to app stores.

Built With

• flask
• python
• react
• tailwind.css