4th Annual Research Conference of SLIIT CITY UNI
Permanent URI for this collectionhttps://rda.sliit.lk/handle/123456789/4160
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Publication Open Access AI-Based Smart Traffic Management System for Emergency Vehicles(SLIIT City UNI, 2025-07-08) Amarasinghe, D P S V; Benorith, LModern cities' main traffic congestion problem delays emergency vehicles like ambulances and firetrucks and police cars where every second counts. Fixed signal traditional traffic systems lack real-time adaptability, hence delays and risks are raised. This paper suggests an AI-driven smart traffic management system to priorities emergency vehicles and enhance general traffic flow by means of Raspberry Pi, YOLOv8, and OpenCV. Strategically positioned cameras provide video to a Raspberry Pi, which detects emergency vehicles by using OpenCV and YOLOv8. Dynamic control of traffic lights on detection helps to clear the path, so reducing response times and improving safety. The technology also maximizes road use and helps to ease traffic. For cities with limited infrastructure, using reasonably priced, open-source tools are scalable and ideal.Publication Open Access Decentralized Database Management: A Comprehensive Review of Blockchain- Based Data Systems(SLIIT City UNI, 2025-07-08) Sukirthan, T; Arunpirakash, S; Karuneswaran, G; Tharmmendra, T; Vithiyasahar, VThe emergence of blockchain technology has revolutionized decentralized data management by offering robust alternatives to traditional centralized database systems. This paper provides a systematic and comprehensive review of blockchain-based distributed databases, highlighting key architectural transformations, core enabling technologies such as Merkle Trees, PBFT, and Zero-Knowledge Proofs, and comparing them with conventional distributed databases. Real-world implementations including Hyperledger Fabric, BigchainDB, and OrbitDB are analyzed to assess their scalability, interoperability, and security capabilities. The paper also explores intrinsic security mechanisms, performance bottlenecks, and regulatory challenges that affect adoption. Finally, it identifies open research questions and future directions necessary for building scalable, privacy-aware, and interoperable decentralized database ecosystems suitable for enterprise and multi-stakeholder environments.Publication Open Access Adaptive Multi-model Machine-Learning and AI Systems for Strengthening the Emotional Well-being of Children with Trisomy 21(SLIIT City UNI, 2025-07-08) Balasuriya, M.I.D.C.; Ellepola, N.This research study demonstrates a web application designed to strengthen children's cognitive skills and emotional well-being with Trisomy 21, utilizing interactive and tailored tools. Trisomy 21 is a chromosomal anomaly caused by an extra copy of the 21st chromosome, which affects a child's cognitive development. Despite the technological evolution, a significant gap persists in accessibility and multimodal approaches that meet the unique needs of children with Trisomy 21. The main objective of the research study was to develop a multi-model web-based application, “Mockley kids,” customized for children with Trisomy 21 that helps to enhance their cognitive skills and emotional wellbeing. The developed system integrated an artificial intelligence (AI) powered voice assistance to enhance communication, and learning, an emotion-based music recommender to enhance emotional well-being and provide a calm and uplifting environment, a text-based bot to enhance literacy skills and communication, and interactive games “Who am I?”, “Tic-tac-toe”, “Simon-says” to increase attention span, decision making, which are tailored to enhance their cognitive skills and emotional well-being. The development and implementation of this project follows a structured process aligned with Agile project methodology. To evaluate the “Mockley kids” system’s impact on children with Trisomy 21, 16 children who were diagnosed with Trisomy 21 engaged with the system for 20 minutes for a week, under the supervision of 8 professionals, including 3 speech therapists, 3 occupational therapists, and 2 educators. Overall results show that the children were excited to integrate with the system and enjoyed the system. Both the professionals and the parents stated that they had evident noticeable improvements in cognitive abilities, including enhanced communication, memory recall, enhanced attention span, and improvements in emotional well-being.Publication Open Access The Impact of Social Media Marketing on Generation Z’s Purchasing Behavior in the Fashion Retail Industry(SLIIT City UNI, 2025-07-08) Christy, RThis research paper explores how Social media advertising is a strong force of Generation Z consumers in the fashion retail industry. The study explores the influence of advertising, user-generated content, and AI-based recommendations on consumer purchase decisions. Based on secondary research studies, it identifies the key drivers of brand consideration and conversion. The study understands that top fashion brands like Zara and Shein effectively support micro influencers, interactive content, and one-toone marketing, while traditional brands like Gap miss the consumer target. This study highlights the importance of originality, personal experiences, and sustainability messaging to engage Gen Z consumers. The results to brands are to extend micro-influencer partnerships, adopt AI driven content personalization, and step up interactive marketing. This study also provides practical outcomes to policymakers and industry stakeholders who wish to maximize digital marketing effectiveness and consumer interaction.Publication Open Access An Investigation of Morphological Processes in Sri Lankan English; A Study Based on Selected YouTube Comment Sections(SLIIT City UNI, 2025-07-08) Ranthunga, S; Godage, SBritish rule left a lasting impact on Sri Lanka with the introduction of English language. In addition, English was considered as the official language of the country under the British government. After gaining independence in 1948, Sri Lanka evolved into a multi-ethnic country which subsequently affected its vernacular languages, which are Sinhala and Tamil. English language in Sri Lankan context emerged as Sri Lankan English (SLE), a new variety representing diverse cultural and social factors of the country. SLE has undergone numerous word formation processes and developed into one of the most major varieties of the English language. In the present day, the frequent use of social media platforms like YouTube comment section has become a dynamic site for the morphological processes in SLE. The content creators utilize new SLE words to facilitate audience engagement. This research aims to investigate the productive and frequently used morphological processes of SLE in selected YouTube comment sections. The study was designed as a qualitative content analysis. A sample of thirty words was selected employing judgmental approach where researcher’s knowledge on SLE morphology was utilized to select YouTube channels. According to the findings, compounding accommodates the largest number of entries in SLE vocabulary found in the You Tube comment section of the selected channels. Borrowing stands as the second-largest entry. Clippings and affixation respectively accommodate fewer entries. Thus, compounding and borrowing can be identified as the most productive and frequently used morphological processes in You Tube comment section in Sri Lanka. Moreover, most of the compounding and borrowings are influenced by the Sinhala language, revealing its significant influence on morphological processes in Sri Lankan English. In conclusion, it is evident that further research on the SLE morphological processes is essential to codify the modern trends in SLE vocabulary due to the influence of digital platforms like YouTube.Publication Open Access An AI-Powered Web Application for Waterfall Recognition and Eco-Tourism Enhancement in Sri Lanka: Falls Explorer(SLIIT City UNI, 2025-07-08) Ranasinghe, S; Jayaweera, YThis research presents the development of Falls Explorer Sri Lanka, a mobile-responsive web application that uses artificial intelligence for automatic waterfall recognition. The core innovation lies in applying a custom-developed convolutional neural network (CNN) to classify waterfall images based on their visual features. A custom image dataset was created by collecting and organizing photos of popular waterfalls in Sri Lanka, and the model was trained using TensorFlow. The custom CNN model achieved 92% validation accuracy after 25 epochs of training, with inference times under 1 second per prediction. The system successfully classified waterfall images across 20 different waterfall classes with precision scores ranging from 88% to 95%. Users upload a photo of a waterfall through the interface, and the system returns the predicted waterfall name along with travel details from a local JSON database. In addition to the recognition feature, the platform offers comprehensive functionalities such as displaying detailed waterfall information (name, location, description), listing nearby hotels, showing current weather forecasts for safe travel planning, hosting a community forum for users to share experiences and images, providing a carbon footprint calculator to estimate travel impact, and an interactive location search map to explore specific sites manually. This solution bridges the gap between technology and ecotourism, supporting conservation-friendly tourism by enabling travellers to appreciate natural attractions without invasive markers or infrastructure.Publication Open Access Bliss2Glamour: An Artificial Intelligence Integrated Educational Platform for Skincare and Beautician Training(SLIIT CITY UNI, 2025-07-08) Ranthatige, N; Seneviratne, OThis research paper represents Bliss2Glamour, an artificial intelligence (AI) based educational platform developed to assist all the NVQ Level 4 blooming beauticians, qualified lecturers, and beauty enthusiasts. Bliss2Glamour has an integrating Learning Management System (LMS), well trained AI chatbot, Selfaffirmations to keep the users motivated, calming music for the salon purposes, provide 24/7 skincare consultation from a highly qualified cosmetologist via WhatsApp website for beautician training, standard online quizzes for the trainee beauticians to get prepared for the exam aligned with the TVEC syllabus. This research paper highlights the motivation, methodology (Agile), implementation (FastAPI, React, React JS Query, fine-tuned QWEN 2.5 0.5B-Instruct AI model), and evaluation (via Weights & Biases). All objectives were met. The AI chatbot achieved 80% accuracy rate based on evaluation using Weights. These results confirm that Bliss2Glamour successfully combines educational content, AI technology, and holistic care into one user-friendly system.Publication Open Access Developing AI-Powered Android Application about Self-financial Management for Individuals “FinGuard”(SLIIT City UNI, 2025-07-08) Samarakoon, S.M.A; Nallaperuma, N.A.PIn this paper the author presented the development of “FinGuard” an artificial intelligence powered android application intended to aid individuals in effectively managing their finances. The application addresses common money issues like executive daily expenditures, lack of income, and financial ignorance. They lead to individuals taking loans, pawning items or borrowing money actions that compromise long-term financial stability. FinGuard offers income and expense tracking services, automated report generation, monthly predictive analysis, customizable reminder feature, advice for financial management feature and a chatbot for get answers for user problems inside the application. The user credentials are shielded from unauthorized use through secure login functionality. FinGuard applies a full and smart process to improve personal financial wellness and promote good financial management habits.Publication Open Access Perceptions of Third-Year TESL Undergraduates on Kahoot as a Gamified Learning Tool in Sri Lanka(SLIIT City UNI, 2025-07-08) Wijayarathna, TThe rapid and increased technology integration becomes an important position, especially in the language learning context. Kahoot, as a gamification tool, is implemented in English Language learning classrooms. The application of this gamified element is examined in various educational contexts and becomes widespread in higher education due to its significance. Nevertheless, only few studies regarding students’ perceptions towards the use of Kahoot among teaching English as a Second Language undergraduates were reported. Therefore, this present study investigates third-year TESL undergraduates’ perceptions towards utilising Kahoot in enhancing their English Language skills within their semesters. This research project examines how a focus group of five third-year undergraduates, currently studying at the department of English Language Teaching, University of Kelaniya, has perceived Kahoot as a gamified tool to enhance their learning. Semi-structured interviewing was used as the data collection instrument, where five interviews were conducted in total, with each interview lasting approximately thirty minutes. The collected data were analyzed using the thematic analysis method. The findings of the study provide evidence for the presence of a number of unique perceptions among the interviewed participants. They emphasized that the implementation of Kahoot becomes more effective for their learning, while they overcome a few challenges with the use of Kahoot as a gamified tool. Furthermore, suggestions are discussed for the effective implementation of Kahoot. This study has already reiterated the need to explore this research area further because the studies are very limited. There should be further studies for ESL (English as a Second Language) development. In conclusion, the research has the potential to promote social change by emphasizing the importance of using Kahoot as a gamified element in pedagogy in Sri Lankan universities.Publication Open Access Enhancing Pronunciation Proficiency via Listening Practice for Specific information with the help of ELSA Speak: Evidence from Foundation-Level Students at SLIIT City Uni, Sri Lanka(SLIIT City UNI, 2025-07-08) Thennakoon, P; Marasinghe, A; Sadithma, M; Gunaratne, N; Mendis, R; Nilaweera, IThis study investigates the impact of English Listening skills for specific information (ELSSI) on English pronunciation (EP) among 40 Foundation semester 2 students at SLIIT City Uni. A mixed approach of questionnaires and experimental tests as research instruments, along with the AI tool, ELSA Speak, was applied to this group. Participants received structured, listening-based practice over the past few days by employing the ELSA Speak AI application. The Data were analyzed by using the Statistical Package for the Social Sciences (SPSS) and Thematic analysis. Therefore, the results show a statistically significant improvement, based on the means of the inclusive posttests (83.49) being higher than the pretests (77.20), highlighting the effectiveness of targeted listening activities in enhancing pronunciation. The increase in the mean score was discovered after the listening treatments by the researchers. An increase in student scores was observed following the treatment. Positive feedback of the sample demonstrated the above-mentioned points. These results lead to the suggestion that ELSSI can help with the development of oral proficiency, while mobile-assisted language learning tools (ELSA Speak) play a crucial role when focusing on the improvement of oral proficiency, further offering valuable insights for educators and language enthusiasts around the world.Publication Open Access Smart Chat: A Mobile Chat Application Based on Machine Learning(SLIIT City UNI, 2025-07-08) Yathuraj, G; Abeysinghe, AIn an increasingly digital world, communication is primarily conducted through messaging apps, but these platforms cannot often convey emotional nuance. This limitation can lead to misunderstandings, emotional disconnects, and deteriorating relationships. SmartChat addresses this gap by integrating machine learning-based emotion recognition into a mobile chat app, allowing users to send and receive voice messages enriched with emotional context. Built using React Native and compatible with both Android and iOS, SmartChat analyzes voice cues such as tone, pitch, and cadence to detect and display emotions to the user. This innovation improves the clarity and empathy of conversations, making digital communications more humancentered. Beyond general messaging, SmartChat has the potential to be used in critical contexts such as education, mental health support, and emotional literacy. By making emotionally aware communication accessible across languages and cultures, SmartChat contributes to fostering healthy interpersonal relationships and supports the broader goal of social sustainability through technology.Publication Open Access Design & Implementation of Smart Waste Collection System with Optimized Route Planning(SLIIT City UNI, 2025-07-08) Josheph, A L; Rajaguru, N MWith the growth of the global population, the challenge of waste management has become more complex. Effective waste management is no longer just a necessity but a critical concern for public health, urban sanitation, and ecological sustainability. Identifying the filled public waste bins in cities and collecting them effectively is one of the essential initial tasks of waste management, to address it more effectively and cost-efficiently the "Smart waste collection system with optimized route planning" is designed. The prototype system utilizes microcontrollers, a Photo- Voltaic power supply unit, ultrasonic sensors, and a wireless module to detect and communicate bin status in a multi-hop wireless network cluster. Each bin is equipped with an Ultrasonic sensor to measure the garbage level and the data is transmitted through neighboring bins to a central control unit using the ISM-based wireless communication multi-hop network, enabling remote monitoring. When bins are detected as filled, their locations are processed to determine the shortest and most efficient route for the collection of garbage using the Google Maps Directions API. The system was tested successfully using a prototype with three waste bins equipped with sensing units, and setting the location on the maps through a cloud-based web visualization built using basic HTML, Python, and Javascript, the system performed accurate fill-level detection and real-time route planning for garbage collection. This solution offers a cost-effective and scalable approach to smart urban waste management by reducing manual monitoring and optimizing collection routes with traffic awareness.Publication Open Access Determinants of Adoption of Artificial Intelligence for Business Sustainability: A Study of Small Businesses in Jaffna(SLIIT City UNI, 2025-07-08) Inthu, M; Jeyaramanan, S; Nimalathasan, BThis study aims to examine the Determinants of the adoption of Artificial Intelligence for Business Sustainability in small businesses in Jaffna. In that context, a deductive approach is employed by the researcher, and data from 72 small businesses in Jaffna. The purposive sampling was used by the researchers. In that context, the data were collected for a business that has potential for digital innovation. As the researcher employed a purposive sampling method, it is ensured that participants who could meaningfully respond to AIrelated questions were selected, given the region’s varied levels of technological awareness. The closed-ended, structured Likert Scale questionnaire was used by the researcher to collect the data. Awareness of AI adoption, Digital Skills, technological infrastructure, and perceived economic benefits are considered independent variables of the study, while business sustainability is considered a dependent variable of the study. The researcher used the SPSS package to analyze the data and the Kolmogorov– Smirnov test, reliability test, correlation analysis, Variance Inflation Test run by the researchers. Among the predictors, the perceived economic benefits (B = 0.395, p = 0.001) have a statistically positive relationship with business sustainability. Followed by Awareness of AI Adoption, which has a statistically positive relationship with business sustainability (B = 0.312, p = 0.004). Furthermore, Digital skills (B = 0.271, p = 0.015) and technological infrastructure (B = 0.219, p = 0.037) also have statistically significant positive effects, highlighting the importance of digital capacity. Additionally, perceived economic benefits have a statistically positive relationship with sustainable business practices.Publication Open Access Emily Brontë’s ‘Sense of Place’ as Portrayed in Her Literary Works(SLIIT City UNI, 2025-07-08) Ponnamperuma, P‘Sense of Place’ is a theory that defines the emotional attachment individuals develop with specific locations, encompassing both positive and negative feelings. It can be directly applied to the analysis of the Victorian writer Emily Brontë’s portrayals of her house in Yorkshire moors where she grew up. It is reported that she loved her house, and it provided her with a constant back drop for her imaginative thinking and creative writing. It is assumed that the landscape seen through its windows and the sounds heard while being inside it frequently inspired most of the locational portrayals in her poetry and fiction. In consideration of Emily Brontë’s romantic attachment to her home, the present study intends to explore her own sense of place as portrayed in her works. Accordingly, it pursues the research questions, “How is Emily Brontë’s sense of place portrayed in her works, ‘Wuthering Heights’, ‘Remembrance’ and ‘Fall, leaves, fall?’ The methodology involves a thematic analysis of her biography by Edward Chitham, ‘A Life of Emily Brontë’ under the three themes, ‘Emily Brontë’s sensitivity towards nature and the environment,’ ‘Emily Brontë’s emotional intensity,’ and ‘her imaginary encounters with recurring patterns of the orphans and abandoned characters.’ The findings of the present study foreground that Emily Brontë’s was heavily influenced by her romantic perception of the beauty of nature and her identification of the therapeutic power of nature as portrayed through her characters. According to her, nature tends to improve the quality of relationships among humans while showing the ways in which their deterioration starts due to the imbalance of their emotions including the sense of being abandoned.Publication Open Access AI-Driven To-Do List: Optimizing Task Categorization and Prioritization Using Ensemble Models(SLIIT City UNI, 2025-07-08) Vishaliney, P.; Pemasiri, C.S; Kanthakumar, M; Yatigammana, NThis paper introduces the AI-driven smart todo list that can cluster and prioritize activities by using the machine-learning methods. Traditionally, to-do list services are immovable and have an element of compromising users to input the information themselves; this sort of bare tool can easily lead to unproductiveness in accomplishment of duties. To address this situation, we supplement ensemble modeling, namely Logistic Regression, XGBoost, and Multilayer Perceptron, to delegate the tasks to the desired categories and define priorities by their urgency. Measured based on standard measures, the ensemble will achieve 47.7 percent accuracy when doing classification and 72.8 percent when predicting priority, and High Priority tasks will gain in this evaluation. Using BERT-based embeddings in combination with TF-IDF-based vectorization, the system should improve its effectiveness because it understands the semantics of described tasks. Together these blocks form a superb ensemble architecture that can beat stand-alone model when it comes to classification and forecasting. More importantly, the system still leaves itself potential to adjust to user behavior and therefore it can improve task management, and it is a feasible platform in real time organization of tasks.Publication Open Access Kalmora: A Voice-Based Journaling App for Real-Time Emotion Detection and Sustainable Mental Well-Being(SLIIT City UNI, 2025-07-08) Kavundhya, K; Dampallessa, D.R.C.G.K.The current tools for journaling depend on personal self-reporting which fails to match accurately with how people genuinely feel, and emotional states affect sustainable societal development. This research introduces Kalmora, which stands as a mobile voice-journaling application which utilizes Wav2Vec2 speech emotion recognition model that identifies seven basic emotions (happiness, sadness, anger, fear, disgust, neutral, surprise) in real time. Kalmora's secure dual frontend backend framework consisting of Flutter and Flask and Firebase elements performs time-based emotion assessment and individual wellness guidance. The model evaluated using controlled TESS data reached 99.8% accuracy which surpassed CNN-LSTM benchmark models at 94.1% accuracy. User testing involved observing real users interacting with the app to evaluate the ease of voice journaling, accuracy of emotion detection, and overall user experience, leading to improvements based on their feedback. Through its combination of objective emotional knowledge and practical tips Kalmora brings new possibilities to digital mental healthcare that enable sustainable emotional self-care practices.Publication Open 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.HCricket 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.Publication Open Access Computer Vision Controlled Humanoid Robotic Arm(SLIIT City UNI, 2025-07-08) Firdouse, M S; Benorith, LThis paper presents the design and implementation of a low-cost, vision-based gesture-controlled humanoid robotic arm that mimics human hand and wrist movements in real time. The system uses a USB webcam and MediaPipe for hand landmark detection, OpenCV for image processing, and a Raspberry Pi 4 to compute landmark vectors and control servo motors via a PCA9685 driver. Calibration modes were introduced for each joint to ensure accurate servo mapping. The solution supports full gesture-based manipulation of a five-fingered robotic hand, including wrist orientation, with minimal latency and no physical contact. The system provides a more intuitive and natural method for robotic arm control compared to traditional input devices and has potential applications in prosthetics, automation, and human-robot interaction.Publication Open Access Smart Sorting and Grading Fruits based on Image Processing Techniques(SLIIT City UNI, 2025-07-08) Ahamed, A J S; Benorith, LThis paper presents the design and implementation of an automated apple sorting system that integrates machine vision techniques with embedded control for real-time classification and sorting of apples. The system employs a Raspberry Pi 4 as the primary processing unit, using a YOLOv11 model for fruit detection and classification, while an Arduino Nano manages weight measurement via a load cell. Real-time images of apples on a conveyor belt are captured, processed, and classified into four categories: Good Red, Good Green, Bad Red, and Bad Green. Sorting mechanisms, including servos and actuate based on classification results, with an integrated LCD and cloudbased Google Sheets providing monitoring and logging. The system demonstrates high classification accuracy and reliable sorting performance, offering a cost-effective solution for small to mid-scale agricultural applicationsPublication Open Access Implementation of Wyltl: An Imperative Language with a Dual Interpreter – Compiler Architecture(SLIIT City UNI, 2025-07-08) Mallawarachchi, D; Jayaweera, YWhen using a programming language, a common drawback is the prevalence of resource constraints. A lack of resources often results in programs executing faster on high end hardware in comparison to middling or low-end hardware. While a core tenant of programming is optimization, with which entire industries have been built upon, when implementing a programming language, the process becomes significantly more complex. Minute slowdowns in a programming language implementation could very quickly result in major slowdown when executing some code. This paper examines the process of implementing the Wyltl language while balancing the need for performance and resource efficiency provided precious insight and hints towards future optimization, and the unique challenges and opportunities for evolution. Including evaluation of varying parsers, processors and technologies. The evaluation of different parsers and processors was done throughout development with a varied range of programming language optimization techniques being followed as required.