Inspiration
The healthcare in US is extremely expensive. Our application aims to provide the best healthcare options for the user after making a diagnosis.
What it does
- It is simple app which takes input from the user about their symptoms and gives out its diagnosis with a high accuracy rate.
- It further recommends if you can get at home remedy or need to go for a trip to the hospital.
- If it at home remedy, you can get medicines from our app delivered to your home within 30 minutes
- If it is a critical injury or requires immediate attention, you can make an 911 call or let us do it for you
How we built it
Mobile Application : React Native Backend : Flask Machine Learning : Pandas, Numpy, Scikit-learn, Logistic Regression Version Control : Github
Challenges we ran into
- Finding the right dataset
- Integrating different frameworks
Accomplishments that we're proud of
We are proud of the application that we can future build upon and which has a potential to attract million of users. We also acknowledge how far we have come given 20 hours of time.
What we learned
- Quick setup of repositories with foundational dependencies.
- Version control in Github
- Working with React Native
- Team Work and Communication
- Working with Medical Data
What's next for MedLocator
Why should the patients get help locally when they can get an equally good healthcare in another country with experienced professional at the fraction of the cost ?? Apart from the efficient implementation of existing features with new algorithms, MedLocator will unite healthcare industry and the world's vision towards better health.
Medlocator plans to connect our users who require surgery, physiotherapy, rehabilitation and much more services with the best teams across the world.

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