Molla-AI

Inspiration

At the beginning of this hackathon, I didn't know what project I wanted to do. Thanks to Nittany AI for the inspiration to create an AI web app to help impact the field of health during a pandemic.

What it does

This AI, Molla, helps schedule tests and operations for patients and monitors the patients. By monitoring the patients, the AI can predict a diagnosis with more accuracy. This AI also helps with surgeries via voice commands.

How I built it

I used HTML and Javascript to develop the front end of the web app. In the back end, I use python to call data from the DataStax server and using machine learning, can predict the diagnosis of patients. I use C++ to tie the Arduino to the webserver. The Arduino uses the thermo-resistor that I gather the raw data from then the C++ program does calculation to determine the temperature and send that data to DataStax for the AI to learn from and for the web app to post. Based on previous medical records API, I cloned and taught Molla the outcomes of the diagnosis so it can be more precise. The AI also uses real-time monitoring data to continue learning and increase the level of certainty when developing a diagnosis.

Challenges I ran into

I had problems with serving the web app on GCP, but thanks to people in the Discord, I was able to do it.

What I learned

I learned how to develop my own AT, use DataStax, and send sensor data from the Arduino to the web app

Built With

• arduino
• c++
• google-cloud
• javascript
• python