In today's world, the widespread use of smart devices has profoundly impacted how people engage in their daily tasks. These impacts can be categorized into positive and negative aspects. On the positive side, the adoption of smart devices has significantly reduced the time required to accomplish tasks compared to the past. For instance, tasks like money transfers that previously necessitated a trip to the bank can now be completed in a matter of minutes through smart devices with internet connectivity. This rich social fabric contributed to a wealth of experiences and wisdom, leading to fewer mistakes. Errors were openly shared through conversations, facilitating collective learning and growth. Language proficiency was profound, not only in speaking but also in writing. The decline of these social interactions due to the prevalence of smart devices has raised concerns about the loss of meaningful communication and wisdom transfer. This program incorporates Natural Language Processing (NLP) techniques to analyze Sinhala language intricacies. The initial step involves amassing suitable text corpora and preparing them for NLP algorithms. Various experiments were conducted, including assessing the probabilities of Sinhalese characters, language identification, preservation, and topic classification. The application of NLP techniques to the collected corpus yielded promising results, paving the way for further research into the Sinhala language.