A Novel Approach using Machine Learning and NLP for Revolutionizing Pali Manuscript Conservation

The preservation and analysis of ancient Pali manuscripts are crucial for understanding India's cultural heritage. However, the unique shapes of Pali characters present significant challenges for accurate identification and classification. This research proposes a novel system that utilizes machine learning, image processing, and natural language processing (NLP) to convert Pali characters into understandable formats and decipher the Pali Prakrit language. By combining computer science and linguistics, the proposed model aims to effectively extract data from Pali literature. The proposed model was validated using the Government of India dataset, demonstrating improved character recognition accuracy and reduced memory footprint. This research contributes to the preservation of ancient Pali manuscripts and facilitates the study and understanding of this valuable cultural heritage.