Amidst the countless news stories highlighting the devastating impact of wildfires and the imminent danger they pose to communities and ecosystems, we felt compelled to take action. We embarked on a journey to create a solution, a wildfire prediction system, designed to safeguard lives and the environment. Our plan was clear: harness the power of data. Armed with datasets sourced from various websites, we gathered critical information, including wind speed, weather patterns, temperature, and humidity.
Our determination to build this system stems from a deep sense of responsibility. We understand that predicting wildfires is a crucial step in mitigating their destructive force. With every piece of data we collected, we envisioned a future where early warnings could save lives and protect our natural surroundings. Our journey has led us to this pivotal moment where we are all set to implement our solution, combining the power of technology with the urgency of the wildfire crisis. We believe that by creating this prediction system, we can make a meaningful contribution towards preventing and managing wildfires.
Built With
- dataanalytics
- datascience
- folium
- geopandas
- indiastatapi
- machine-learning
- numpy
- openweathermap
- pandas
- python
- scikit-learn
- tensorflow
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