Inspiration
We mainly desired to combine a bunch of technologies in one stack, observe the outcome and have in the process. Nonetheless, this web application might be the first step for the digitalization of medical services in Europe.
What it does
Looks up the medicine via camera. Provides information on medication and local pharmacies. Has a chat helper for user queries.
How we built it
So the base of this project is a python file that renders all pages and has a Computer Vision algorithm in it. It has to be built and run in a virtual environment with libraries such as OpenCV, PyTesseract, and of course Flask. There are a bunch of other files that are needed for some functions to work like the EAST Text-detecting model.
Challenges we ran into
It took us a while in making a website. Not everything was compatible. The backend was painful. The text recognition algorithm was very inaccurate at the beginning.
Accomplishments that we're proud of
Combining all of the different tools in one project as well as working as a team by distributing all of the duties between each team member.
What we learned
How to web-application are actually made. The importance of version control.
What's next for i-med
There are many future possibilities for this project since it is pretty scalable. For example, we can add authentication and face identification, and relate the website to some database.
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