This is a proof-of-concept for the IBM call for code hackathon 2019.
- Use of climatic data to predict rains and floods.
- For PoC, we are just using Precipitation and Elevation levels in a particular lat long to predict floods.
- When a region is predicted to be flooded, the volunteers/ donors are contacted to bring in the donations to the needy people.
- This proactive method helps people to connect donors and natural disaster victims.
- The PredictionModel.ipynb uses the data to build a regression model
- The regression is used to predict the floods in case of high precipitation and low elevation levels.
- FlaskServer.ipynb exposes an API that when hit with precipitation and elevation info, returns flood level predictions as response.
- DonorsDash is the client website for viewing flodded regions and contacting the donors interactively.