Inspiration
During the second wave in India and other developing nations, COVID cases shot up exponentially, leading to desperation for crucial medicines. This high demand and low supply led to the proliferation of counterfeit medicines in the market, which can cause unexpected health complications, including death.
We have thus tried to develop a rudimentary counterfeit medicine detector app, to prevent any further unnecessary unfortunate incidents.
What it Does?
We’ve built a website wherein you interact with the landing page. Through a form, you can choose which medicine you want to confirm the authenticity of, and upload an image of your medicine. Our program has a trained ML model for all the medicines we’ve listed. It compares you image with the correct medicine on the following parameters: Spelling errors (including capitalization) Rx symbol Color differences
Based on this comparison, it outputs an accuracy score which you can use to verify the authenticity of your medicine.
How we built it After the user uploads their image: We setup an SQL server to which this image is pushed The database then sends this image to our Django backend We use OpenCv to crop the image, identify all text and colors, check for spelling errors This cleaned image is passed to a CNN which detects the presence of the Rx symbol The results of the model run are parsed into a user friendly format This final format is pushed to the website wherein we display an accuracy score and all parameters are displayed
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