Preserving Cultural Heritage: Mapping of Handwritten Modi Script to Devanagari Characters

The preservation of cultural heritage through the digitization of historical scripts stands as a testament to the fusion of technology and legacy. This research delves into the development of an automated system that reduces the gap between the ancient Modi script and contemporary digitalization, specifically the conversion from handwritten Modi script to Devanagari script. By leveraging advanced machine learning techniques, a character recognition model capable of interpreting diverse handwritten Modi script styles was engineered. Subsequently, a conversion algorithm was implemented to translate recognized Modi characters into the standardized Devanagari script accurately. The methodology involved meticulous data collection, training, and testing of the recognition model. Results showcase the system's efficacy in accurately recognizing and converting Modi script characters into their Devanagari counterparts across various handwriting styles and complexities. The importance of current work is its contribution to the preservation and accessibility of cultural artifacts, enabling the digitization of historical manuscripts and documents. This work not only offers a technological solution but also serves as a pathway for the conservation and revival of the rich cultural heritage embedded within the Modi script.