Published Paper Details:

Rooted in a rich historical tapestry, Kannada, a language that has evolved over time, presents shifts in pronunciation, sentence structure, words, and meanings. This project aimed at rendering old Kannada more accessible by offering written and spoken interpretations. The project introduces a "smart translator" converting old Kannada into the modern variant, facilitating comprehension through word and sentence mapping. Additionally, it employs Optical Character Recognition (OCR) to recognize handwritten characters within scanned images. The system also integrates Text-to-Speech (TTS) technology, enhancing accessibility for users. By digitizing handwritten text and accurately mapping translations, the project bridges the gap between old and modern Kannada. This comprehensive approach seeks to understand and preserve the linguistic and cultural heritage of old Kannada, ensuring its continued enrichment of modern Kannada and the broader cultural landscape. However, challenges remain in effectively translating and comprehending old Kannada text, hindering access to valuable historical and literary resources. Through ongoing development and refinement, the proposed system aims to overcome these obstacles and contribute to the preservation and accessibility of Kannada heritage.