Wildfire-prediction-and-or-detection-system

Our team's goal was to make a functional website that allows users to see the fire risk they are exposed to based on their exact coordinates and APIs such as NASA FIRMS and NOAA (National Oceanic and Atmospheric Administration). Wildfires have become more frequent and intense due to climate change. 85-90% of wildfires are caused by humans, but environmental conditions play a major role. Current firefighting methods are effective, but predicting when and where fires will occur remains a challenge. AI and Machine Learning can improve forecasting and help communities prepare. Rain isn’t always a solution – fires can continue burning or lead to floods and mudslides. Wildfires today spread faster than responders can react, requiring better forecasting. We utilized NASA's APIs and datasets to display both current and past fires. By leveraging their real-time and historical fire data, our program provides users with up-to-date and accurate fire information. We also integrated NOAA's APIs to retrieve real-time weather data, including temperature, wind speed, and (relatively) humidity, ensuring accurate and up-to-date information for our program.

Built With

• css
• html
• javascript
• python