The article discusses how machine learning and deep learning algorithms are used to classify Bangla sentences. The goal is to improve information management and data organization for Bangla text. By applying various algorithms, the researchers achieved high accuracy rates of 89.42% with RN and DT in machine learning, and 88.2% with LSTM in deep learning. This study contributes to the development of Natural Language Processing for Bangla and suggests future hybrid approaches to enhance interaction between Bangla and NLP.