森林火灾预测器：使用深度学习预测森林火灾造成的破坏

<center>  </center> # Forest Fire Predictor This webapp can be used to predict the amount of area burnt by a fire by selecting a point on a map. ## Built Using * Flask API - hosted on Heroku * Keras with a Tensorflow backend for predicting - computed on the cloud and sklearn for pre-processing * JS and HTML for the websites * Openweathermap API for the weather data * Pandas, Numpy, Dill for csv reading, linear algebra and saving objects, respectively. * Integrated and hosted on GitHub Pages ## How it works * When the user clicks the button on the web page, the Heroku API is sent the latitude and longitude of the place selected on the map. * The python script then fetches weather data from the openweathermap API. * This data is used to calculate the various Fire Weather Indices. * The FWIs and the raw data from the API are fed into the Deep Regression model which outputs ## Requirements * `keras`, `tensorflow`, `sklearn` for machine learning * `flask`, `flask-cors` for the API * `numpy` for linear algebra * `dill` for object saving * `pandas` for reading the training data in the form of `*.csv`