Dr Speed Cure

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  Statefarm Challenge

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  DrSpeedCure

Inspiration

Cause: Delay in getting diagnostic information and supporting understaffed hospitals and doctors who are overwhelmed.

What it does

Rapid report diagnosis and efficient feedback mechanisms

How we built it

We used frontend technology React Native, Python as backend, Tensorflow and Keras for machine learning models. We used twilio API for whatsapp integration.

Challenges we ran into

Twilio integration for whatsapp

Accomplishments that we're proud of

Ideation and learning of newer technologies, pickle models

What we learned

Learned Machine learning technologies, react native from scratch, API embedding into existing platforms

What's next for Dr Speed Cure

Enabling complete development for different stakeholders and users

hosted link

https://web-production-079a.up.railway.app/

Built With

• javascript
• keras
• numpy
• pandas
• pickle
• python
• react-native
• scikit
• tensorflow