Inspiration
The potential use of AI in healthcare and medical fields prompted us to create a tool to help doctors and others in their daily lives in assisting patients.
What it does
Transcribes text during interviews with patients, and identifies if certain cellular tissues have tumors.
How we built it
Used Python to create the back-end and front-end parts of the project. We used HTML and CSS for the presentation portion.
Challenges we ran into
Integrating all of the code together. We originally were planning to merge the HTML interface with the back-end coding, but were unable to. Instead, we used the HTML file for presentation and used Python for front-end coding as well.
Accomplishments that we're proud of
Creating the Neural Network.
What we learned
More about HTML and CSS, and how to make websites with Python.
What's next for Skibblr
HTML integration and better GUI interface. Thus more utility.
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