Hello friends, I just completed this project as a part of the Deep Learning Nanodegree at Udacity. The project is about predicting the next word in the script, given the previous context using LSTM. I'll be explaining the major and the very basic concepts that will be required while doing the project. The sections which I've covered include: How our data can be transformed into a form that the model can work with? How the model architecture works with the batched data, passing it from one layer to the other and how it finally leads to predicting the next word in the sequence. This is a fundamental project done with LSTM, anyone having basic knowledge about neural networks and RNNs can easily understand this.