Layers of Wax gets deposited on internal wall of crude oil pipeline. This causes the pipe to choke up and the entire section of the pipe has to be removed. This costs too much to oil comapnies and a solution is required to find trends, profile and prediction of wax deposition.

The solution is a website where operators can see the trends of wax deposition, store data, and draw predictions of future scenarios. The website is written using Django. Visualization is done using seaborn and matplotlib libraries. Trends are found out using 1st order differencing using Scikit learn libraries. Predictions are done using Keras.

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