SAP Wildfire Manager

• 

  Fire Events with Time Filter

Inspiration

We wanted to have an efficient way to allocate resources in order to save valuable time and cost for wildfire management.

What it does

It has two parts. One where resources gets allocated to current wildfire events, secondly it predicts future fire based on old data. We implemented resource allocation based on cost, time and number of units.

How we built it

We used django for backend, mongoDB for database and streamlit for frontend.

Challenges we ran into

Learning curve of streamlit, input file handling into database and machine learning approach.

Accomplishments that we're proud of

Being able to come up with progressive result such as more accurate predictability, mapping of events and being able to visualize.

What we learned

We learned about new technology stacks. Also, how we can use historic data to predict future events for our benefit.

What's next for SAP Wildfire Manager

With more time, we can adapt custom input handling, more optimized predictability, and complex algorithms to allocate resources based on multiple inputs.

Built With

• django
• mongodb
• python
• streamlit