KANNADA KALIYIRI APPLICATION

Abstract: The growing demand for digital learning platforms has significantly influenced the evolution of language learning methodologies. However, many existing platforms for regional languages such as Kannada lack structured content, interactivity, and effective assessment mechanisms. Most available tools rely on static vocabulary lists and traditional teaching approaches, which reduce learner engagement and hinder systematic language acquisition. This paper presents Kannada Kaliyiri, a web-based interactive platform designed to provide a structured and engaging environment for Kannada language learning. The system organizes learning content into categorized modules including animals, fruits, vegetables, greetings, grammar elements, vowels (Swaragalu), and consonants (Vyanjanagalu). Each learning unit includes Kannada script, English meaning, and transliteration to facilitate comprehension and pronunciation. An integrated quiz module dynamically generates questions from multiple categories and provides instant feedback to learners. The application is developed using modern web technologies such as React.js, JavaScript, HTML5, CSS3, and Tailwind CSS. The modular architecture ensures scalability, maintainability, and extensibility of the system. Experimental evaluation demonstrates that Kannada Kaliyiri significantly improves learner engagement and understanding compared to traditional static learning methods. The platform highlights the potential of interactive web-based systems in promoting regional language education and can be extended with advanced features such as audio pronunciation, adaptive learning mechanisms, and personalized progress tracking.