Idea: We try to predict the possibility of wild fire occuring ahead of time using two different data sources namely,
- Weather dataset [https://www.kaggle.com/selfishgene/historical-hourly-weather-data] - Hourly dataset of indices like humidity, temperature and pressure, etc. {period potentially from 2006 to 2018}
- Fires dataset [https://www.kaggle.com/rtatman/188-million-us-wildfires] - Fire data, size and intensity, location, etc. {Period: 1992 to 2016}
- Predict the future weather condition in different regions in the US
- Predict wild fire possibilities in different parts of the US using the weather forecast
- To plan ahead of time for fires and be prepared, this would help save wildlife.
- Predict fire internsities in different areas and understand how the weather affects them. Incase of high intensity fires, it might be required to evacuate the nearby areas.
Members: Murali, Harsh, Yi Yao