The problem Rainfall Prediction ML Web App solves

Rainfall Information is a very essential thing in a agriculture based and developing country like India. This Web App uses Neural Network Regressors and Deep Learning to predict the Rainfall on any Date of the year in Major Cities of India using basic parameters like Humidity, Pressure, Wind Speed and Temperature. It also gives the probablities on rainfall intensities.

Challenges we ran into

This Web App uses a Machine Learning Model made by us after many tests and using various parameters. The data needed to train the model was taken from the site: ( https://power.larc.nasa.gov/data-access-viewer/ ).
Data preprossecing was tough as the data was very random and not all was in the required numerical form. We had to get the sklearn and pandas libraries into work to preprocess this data, like names of the cities, and standardisation of data.
Then the next challenge was to get the best parameters like learning rate,etc. which was solved using tensorflow/keras.