Inspiration- The COVID 19 pandemic has illustrated one crucial fact very very clearly - that the hospitals, medical supply chains and manufacturers of medical equipment were not remotely prepared for it. During the onset of the outbreak, there was a scramble for masks, ventilators and PPE. Unfortunately, this unpreparedness led to the loss of many lives. It is evident that hospitals and other related agencies are unaware of this dearth of equipment. We realized that this was because of how outdated inventory management systems used by hospitals are. According to a survey conducted on 100 hospitals, more than half said they still use manual processes (like excel and handwritten notes) to track equipment and medicines. This led us to think about how we can better the system.

What it does -MediBridge is a modern, functional, easy to use hospital inventory management system that allows users to track all of the inventory in real time. It tracks expiry dates, when supplies are low and other important data. One of the most important features of our software is that it uses data to predict and forecast. Using models, we predict when equipment is likely to stop working, how many pieces of inventory are faulty, when drugs are likely to go out of stock, and what inventory should be purchased, amongst other key predictions.

what we used - Python, flask, rpy2, R, MySql, relational database, google cloud, html, css

Google Cloud integration was challenging and time consuming. Finding good data and coming up with the models was challenging. Integrating flask and R was another challenge

This was our first hackathon. We were rather overwhelmed coming in. But we were really happy get a working prototype by the end of this event! We are excited to keep developing our idea.

I learnt a lot about using R and Python together. Additionally, I learnt a lot about databases.

We are exciting to continue working on bettering MediBridge and getting it to hospitals.

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