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@article{196292,
        author = {Dr. MK Jayanthi Kannan and DAKSH DUGAR and Atishay Jain and Md Eaman Adeep and Shresth Kumar Jha and Abhishek Anand},
        title = {Turant: A Hyper-Local Community Service Application with AI-Powered Chatbot and Intelligent Support System},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {11},
        pages = {3683-3693},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=196292},
        abstract = {The rapid growth of digital platforms has highlighted the need for reliable hyper-local information systems in semi-urban and urban communities. Traditional directories suffer from outdated data, lack of verification, and poor user support. Turant is a Progressive Web Application developed to address these challenges by providing accurate, verified, and actionable information about local services. Built using Next.js, Supabase, and Firebase, the platform integrates an AI-powered chatbot using Google Gemini API (with structured JSON payload and response) and a complete support ticket system. The database architecture consists of nine relational tables that enable advanced features such as reporting, saved contacts, and admin moderation. This paper presents the design, implementation, and evaluation of Turant, demonstrating significant improvements in data richness, user experience, and community engagement. Results show 0%–13% similarity in plagiarism checks, confirming originality, and validating the system’s effectiveness in real-world hyper-local scenarios.},
        keywords = {Hyper-local services, Community service platform, AI chatbot, Google Gemini API, Support ticket system, Supabase, Progressive Web Application},
        month = {April},
        }