Metaverse Technology to Empower Students Literacy Rate Using Modern Educational Resources in Kanchipuram District

The COVID-19 pandemic hastened the worldwide transition to online education, revealing both prospects and obstacles in digital learning environments. The Kanchipuram district includes both urban centers and distant rural communities, making it perfect for studying disparities in digital accessibility. Although urban regions are experiencing improvements in infrastructure (4G/5G), numerous rural areas continue to depend on restricted 3G access or lack any connectivity altogether. Although Tamil Nadu boasts a high overall literacy rate, the rural areas of Kanchipuram experience significant learning loss and increased dropout rates, particularly in the aftermath of COVID-19. Initiatives such as “Illam Thedi Kalvi” (Education at the Doorstep) and “Ennum Ezhuthum” (Number and Writing) have been launched here to close the gap demonstrating government involvement and local enthusiasm. Kanchipuram, a district located in Tamil Nadu, provides a strategically significant and illustrative case study for exploring the adoption of Metaverse-driven education and hybrid communication technologies such as 5G and LoRaWAN. Kanchipuram lies within the Tamil-speaking region, where AI platforms such as Duolingo in local languages could significantly improve literacy, especially among young learners. Although technological advancements, especially in Metaverse settings, offer fresh opportunities for engaging and inclusive education, notable inequalities persist, particularly for learners in rural and developing regions. This study explores how metaverse technology can help close the Digital divide, emphasizing affordable and low-energy communication tools like LoRaWAN combined with 5G networks. Moreover, the research examines the incorporation of AI-driven tools such as Duolingo and gesture-based authentication systems to improve the security and customization of online learning platforms. This research tackles the gaps in accessibility, performance, and infrastructure that impede fair online education by utilizing enhanced supervised machine learning algorithms. The results seek to guide efficient technology strategies and enhance secure, verified, and engaging learning experiences for marginalized groups. This research encompasses an analysis of current digital education projects, a suggested framework for Metaverse-oriented learning, and an assessment of its effects on enhancing literacy via pilot programs in chosen schools.