4th Annual Research Conference of SLIIT CITY UNI

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Author: search.filters.author.Niranga, G.D.HHas files: Yes

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    PublicationOpen Access
    Beyond the Wrist: Holographic Pathway for Universal Depression Management
    (SLIIT City UNI, 2025-07-08) Weerasuriya, B.M.; Egodage, M.D; Ranasinghe, R.K.N.N; Vithurshika, J.; Vihansa, N.K.V.; Niranga, G.D.H
    This concept paper introduces a novel smartwatchbased system that leverages artificial holographic technology to address the growing need for accessible mental health support, particularly for individuals experiencing depression. Recognizing the communication barriers and lack of resources for the deaf community, the proposed system is designed to be inclusive for both deaf and non-deaf users. This system blends artificial intelligence, holographic technology, mood tracking, and an inventive smartwatch that can detect individual emotions. A smartphone application will be used to oversee and control each of these components. By integrating wearable technology with emotional wellbeing support, the proposed model will provide continuous, accessible, and user-friendly assistance. If implemented, this tool could enhance user engagement and emotional awareness in therapeutic contexts. To validate feasibility and effectiveness, further research and development are needed.
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    PublicationOpen Access
    Bat.CG: Development of a Customizable Cricket Character Generator Web Application for Enhanced Broadcasting Experience
    (SLIIT City UNI, 2025-07-08) Kiriyalagammana, P. P; Niranga, G.D.H
    Cricket broadcasting has evolved significantly with technological advancements, yet traditional systems remain fragmented and technically complex for broadcasters. This research presents Bat.CG (Cricket Character Generator), an innovative web-based application that integrates customizable broadcasting graphics with realtime scoring, neural network-driven predictions, and enhanced audience interaction. The system addresses critical gaps in existing broadcasting infrastructure by providing a unified platform that eliminates the dependency on separate Character Generator (CG) and ball-by-ball scoring systems. Through comprehensive market research involving 81 industry professionals, this study identified key requirements including customizable graphics (99% demand), emergency score updating capabilities (87.7% essential), and integrated CG-scoring systems (49.4% extremely valuable). The proposed solution utilizes the MERN stack (MongoDB, Express.js, React, Node.js) architecture with hybrid neural network and regression models for match predictions. Key innovations include drag-and-drop graphic customization without programming knowledge, real-time data synchronization with sub-second latency, role-based access control, and interactive viewer engagement features. The system's modular design ensures scalability, security, and accessibility while maintaining professional broadcast quality. This research contributes to democratizing cricket broadcasting technology and establishing a foundation for future sports media innovations in developing regions.