Artificial Intelligence is the process of performing tasks that generally requires human intelligence by artificially emulating it in a computational background. Implementation of this concept in predicting the next suitable word efficiently such that it does not deviate from its original meaning. It is observed that most word prediction algorithms involve comparison of a word with a dictionary or a collection of words that shows resemblance and follow a fixed linear path by recognizing patterns. In most cases, this linear analysis solves the problem of maintaining the sentence structure and its meaning. However, in complex cases, it is found to be inaccurate as minor details of a language are ignored. This can be corrected with the help of machine learning along with pattern recognition by analyzing the frequency of the words, addition of new words into a local dictionary, identifying the difference between official and unofficial text sentences or words. It becomes more complex as the neural network keeps increasing but it improves and provides accurate results over time and can be improved with comparison using a cloud-based dictionary. The concept being implemented is universal and is useful in any kind of language and provides a restriction free communication and understanding.