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 Fitness Warrior: Fitness and Nutrition Tracker with Personalized Goal Generation(SLIIT City UNI, 2025-07-08) De Mel, Y.D; Nallapperuma, P.MFitness Warrior is a comprehensive mobile fitness tracking application developed using React Native and Firebase that addresses critical limitations in existing solutions through the innovative integration of machine learning, gamification, and social features. Traditional fitness applications suffer from inaccurate step detection (with error rates exceeding 20% error rates), inefficient nutrition tracking interfaces, poor user retention (with 73% abandonment within three months), and a lack of adaptive personalization. This project uniquely implements ondevice machine learning via TensorFlow.js for privacypreserving step detection, combines TF-IDF vectorization with cosine similarity for efficient food searching, and incorporates principles of Self-Determination Theory through a cohesive social motivation framework. Development followed the Agile Scrum methodology, implementing a CNN-based model processing sensor data at 50Hz sampling rate, creating a database of 2,395 food items with optimized search algorithms, and designing gamified social features. The application achieves 95.2% real-world step counting accuracy compared to manual counting, significantly outperforming conventional threshold-based approaches (48.3% accuracy), while the calorie tracker delivers 92.7% relevant results in top-5 suggestions with 126ms search latency. Evaluation with 21 users demonstrated exceptional impact: 95.3% reported increased daily steps, 90.4% experienced greater calorie intake awareness, and 71.4% found social features strongly motivating. The application received outstanding approval with 90.5% of testers rating overall satisfaction at 8 or higher on a 10-point scale. This research successfully demonstrates how integrated, machine learning-enhanced fitness applications can meaningfully impact user health behaviours while overcoming significant limitations in existing solutions.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 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 Trusty Record - Decentralized Medical Record Management System using Blockchain and Artificial Intelligence(SLIIT City UNI, 2025-07-08) Vijayaraj, A; Worthington, A.EIncreasing demand for secure, accessible, and patient-controlled healthcare data systems has exposed the limitations of traditional centralized electronic health record (EHR) platforms. These systems often suffer from data breaches, limited interoperability, and a lack of transparency, leaving patients with minimal control over their personal medical information. This paper presents TrustyRecord, a decentralized medical record management system that leverages blockchain technology and artificial intelligence (AI) to overcome these challenges. Ethereum-based smart contracts are used to manage access control, ensuring transparency and immutability, while InterPlanetary File System (IPFS) enables tamper-proof, distributed storage of sensitive medical data. Additionally, a machine learning model trained on real-world clinical data performs predictive analysis, providing patients with early warnings of heart risk based on extracted health indicators. The system integrates Optical Character Recognition (OCR) technology to process unstructured medical files and convert them into structured data for analysis. TrustyRecord offers a secure, scalable, and intelligent approach to health data management, enhancing both patient empowerment and proactive healthcare delivery.Publication Open Access “Rolance” A Web-Based Platform Connecting Local Printing Shops with Customers for Customized Print Solutions(SLIIT City UNI, 2025-07-08) Kothalawala, K. D.D.D; Gallage, HThis paper introduces Rolance, a web-based marketplace platform that bridges the gap between local printing shops and customers, enabling personalized and costeffective print-on-demand services. Unlike global platforms that prioritize local printing shops to provide their services to mass customer base locally. Rolance integrates local businesses, reducing shipping costs and delivery times while supporting small-scale entrepreneurs. Another specialty is there are two options to customer as sell their own design publicly through is platform or use their designs to personal scenarios. So, there is an opportunity for customers to earn extra income by selling their designs online. If customers need to print their design for their personal purpose, users can directly connect with local printing shops and place order online. This system has three types of user roles those are admin, customer and shop owner. As an extra feature there is a design canvas that allows us to make designs though the platform while collaborating with others by giving permissions to join the designing process for selected users. Each role has a separate dashboard with role specific set of operations. System testing was done by using Google lighthouse, Semgrap, Trivy, user feedback and manually testing through test case report to ensure system met required performances, security strands and system functional requirements and objectives. The final deployed system successfully met all system objectives while ensuring system useability, scalability, maintainability and performance.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 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 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 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 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 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 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 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 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.HThis 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.Publication Open Access Exploring Sustainability-Driven Fintech Usage Intentions Among Gen Z in Sri Lanka(SLIIT City UNI, 2025-07-08) Vallaven, LWith growing global environmental awareness, Generation Z (Gen Z) has emerged as a key demographic driving demand for sustainable, technologyenabled solutions. This concept paper, developed from an undergraduate research proposal, explores sustainabilitydriven intentions to use financial technology (FinTech) services among Gen Z in Sri Lanka. Drawing on the Theory of Planned Behavior (TPB), the study aims to examines and offer new insights on how attitudes, subjective norms, perceived behavioral control (PBC), and environmental concerns influence sustainability-driven Fintech usage intentions among Gen Z’s in Sri Lanka. A mono-method quantitative design is proposed, with data to be collected from Gen Z individuals in Sri Lanka using purposive and snowball sampling. The data will be collected via an online questionnaire and analyzed using descriptive and inferential statistics.Publication Open Access AirPoint Lab: AI-powered Online Car Painting Customization and Estimation Platform(SLIIT City UNI, 2025-07-08) Nanayakkara, H.K; Nallaperuma, PThe AirPoint Lab project introduces an innovative AI-based online platform designed to modernize car painting services in Sri Lanka, addressing key challenges such as inaccurate cost estimations, unreliable workshop selection, and limited customization options. The platform features an intuitive web interface that enables users to design and visualize custom car paint jobs with the assistance of AI-driven color matching and instant cost estimates. By integrating workshop ratings, local service recommendations, and transparent pricing, the platform enhances accessibility and trust for users. Developed using Agile Methodology, the system was initially built on the MERN stack but later migrated to WordPress improved scalability, while incorporating machine learning for personalized AI recommendations. Rigorous testing confirmed the platform’s functionality, usability, and accuracy, demonstrating its potential to streamline the car painting process for both customers and service providers. Beyond its practical applications, this web application bridges academic research with realworld implementation, offering a scalable solution adaptable to developing nations.Publication Open Access Nutria: An AI-Driven Personalized Meal and Exercise Recommender System for Diabetes Management(SLIIT City UNI, 2025-07-08) Kumari, V.W.I.D; Seneviratne, OThe prevalence of diabetes has led to a growing demand for personalized dietary management tools, leading to the development of Nutria, a web-based food recommendation system tailored for individuals with diabetes. Nutria application is leveraging artificial intelligence, machine learning, and image processing. Nutria analyzes individual health data to provide realtime meal suggestions. The system also features predicting blood glucose level, feature of a chatbot that supports user engagement by offering dietary advice, tracking user progress and exercise recommendation for control their disease condition. The inclusion of a chatbot serves as a vital component of Nutria, facilitating ongoing user engagement and support. Users can interact with the chatbot to receive personalized dietary advice, track their progress over time. This interactive feature not only helps users stay motivated but also fosters a sense of accountability in their dietary choices. Findings from the system evaluation revealed a high level of user satisfaction, with over 85% of participants reporting improved dietary awareness and adherence.