The "Next Word Prediction Using Markov Model" project is an academic initiative centered around the Markov chain model concept. Developed entirely in Python and utilizing the msvcrt
module, this project aims to create a practical next word prediction system. The main objective is to leverage the predictive capabilities of Markov models to anticipate the most likely word to come after a given sequence of words. The implementation in Python, with the support of the msvcrt
module, ensures a smooth and efficient execution, making it a valuable exploration of language modeling and prediction within the framework of Markov chains.
Follow these steps to set up and run the project locally:
-
Clone the Repository:
git clone https://github.com/doubtcrack/Next-Word-Prediction.git cd Next-Word-Prediction
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Setup the
markov_chain.txt
file -
Starting the Project
Begin the application with the following command in the directory:
python markov_chain.py
Accessing the Application
You're all set!
🌟If you find this project useful and would like to contribute or show your support, we welcome your involvement. Feel free to submit pull requests, report issues, or share your feedback. Your contributions make this project even better!🌟
And also, please consider giving it a star ⭐ on GitHub! Your support and feedback are greatly appreciated as they help us improve and grow the platform. Thank you 💖