Fullhouse

Inspiration

An interactive insurance tool that is easy to use gives best deal without any paperwork

What it does

We used Google Cloud Platform for developing the application from end to end.

1. Cloud Source Repositories for maintaining our source code and configured CI/CD pipeline
2. A compute engine where we hosted on backend flask application. In this compute engine we ran our ML model, trained it, and finally did validation.
3. We used App Engine for maintaining our front end react application

Accomplishments that we are proud of

We tried to achieve what we thought of initially regarding the requirements. Learned a lot and explored Google Cloud and its usage. Quite impressed with all the features that it provides. Our interactive UI !!!

What we learned

Google Cloud Services Flask, python

Future Scope

1. Providing user feedback to improve discount based on ML model predictions

2. Retraining model using updated user profiles

Built With

• flask
• google-cloud
• machine-learning
• react