LA wildfire prediction using historical data by NOAA

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  LA_wildfire_prediction_app

Inspiration

Most of the available apps are to detect wildfire from statellite images, but predicting future posibility of wildfire is most important for citizen of that place. But real problem is predicting future wildfire In this project this problem will be solved forever by help of ML.

What it does

Here a web app is built with help of XGboost model and dataset by NOAA, Google Earth Engine

How we built it

Dataset: NOAA, Google Earth Engine Model: XGboost Language: Python-3.11.11 Webapp: Streamlit

Challenges we ran into

Dependecies issue are major problem I had to face

What we learned

Deploying ML model on web Real life scenario implementation

What's next for LA wildfire prediction using historical data by NOAA

Finding and fixing bugs in this application

Built With

• jupyter
• numpy
• pandas
• python
• sklearn
• streamlit
• tensorflow