Mediction

Inspiration

Hearing about the struggles of studying medicine at university.

What it does

Python application returns definitions of technical terms from lectures in real time, allowing students to quickly glance down to their screen for an instant medical dictionary definition. Could be used in other scenarios more widely within the medical sector, or with panopto recordings.

How we built it

• Microsoft Azure speech-to-text API
• Merriam-Webster Medical Dictionary API
• Cross-checking transcribed text for medical terms and returning definitions in real time

Challenges we ran into

• Getting live time updates smoothly and with minimal delay
• Using the dictionary API, and eliminating all edge cases (such as dictionary returning definition of closest word)
• Eliminating common words, which are most frequently used in non-medical sense

Accomplishments that we're proud of

• Genuinely helpful tool
• Sleek GUI
• LIVE definitions which work almost seamlessly

What we learned

• How fiddly tkinter is
• Python isn't ideal for this sort of application

What's next for Mediction

• Expand to other subjects! Like maths, which would require LaTeX support for equations
• Easily amendable filters for different words (maybe ability to star words you don't know and create a personal glossary)
• Optimising AI to learn from each voice

Built With

• azure
• merriam-webster-dictionary
• python
• speech-to-text