  Texting stands out as the most prominent form of communication worldwide.
Individual spend significant amount of time writing whole texts to send emails
or write something on social media, which is time consuming in this modern era.
Word prediction and sentence completion will be suitable and appropriate in the
Bangla language to make textual information easier and more convenient. This
paper expands the scope of Bangla language processing by introducing a Bi-LSTM
model that effectively handles Bangla next-word prediction and Bangla sentence
generation, demonstrating its versatility and potential impact. We proposed a
new Bi-LSTM model to predict a following word and complete a sentence. We
constructed a corpus dataset from various news portals, including bdnews24, BBC
News Bangla, and Prothom Alo. The proposed approach achieved superior results
in word prediction, reaching 99\% accuracy for both 4-gram and 5-gram word
predictions. Moreover, it demonstrated significant improvement over existing
methods, achieving 35\%, 75\%, and 95\% accuracy for uni-gram, bi-gram, and
tri-gram word prediction, respectively
