International Conference on Advancements in Computing [ICAC]

Permanent URI for this communityhttps://rda.sliit.lk/handle/123456789/312

The International Conference on Advancements in Computing (ICAC) is organized by the Faculty of Computing of the Sri Lanka Institute of Information Technology (SLIIT) as an open forum for academics along with industry professionals to present the latest findings and research output and practical deployments in computing.

The primary objective of ICAC is to promote innovative research that addresses real-world challenges and contributes to the social well-being of communities. The conference provides a dynamic platform for researchers from around the world to present groundbreaking findings, exchange ideas, and establish meaningful collaborations.

https://icac.lk

Browse

Filters

2022 - 20254

Advanced Search

Filter by

Settings

Author: search.filters.author.Samarakoon, U

Search Results

Now showing 1 - 4 of 4
  • Thumbnail Image
    ItemEmbargo
    EDU-SENSE: AI-Driven Adaptive E-Learning System for Primary Education
    (Institute of Electrical and Electronics Engineers Inc., 2025-12-09) Shanmugalingam, N; Maheshwaran, L; Rizvee, I; Roshni R.J; Samarakoon, U; Rajendran, K
    This research addresses critical gaps in primary education by integrating AI-driven e-learning tools with traditional classroom teaching, ensuring technology supports rather than replaces teachers while improving student learning outcomes. In getting ready for high-pressure exams like Sri Lanka's Grade 5 Scholarship Examination, maintaining student engagement and emotional well-being remains a significant challenge. EDU-SENSE is an AI-driven web platform designed for primary education that integrates personalized content delivery, stress detection, and an emotion-aware chatbot. The system begins with a diagnostic pre-test to assess individual skill levels,and provides syllabus-aligned questions, and delivers targeted revision based on identified knowledge gaps. A s tress-aware module and motivational chatbot provide emotional support, while peer collaboration features promote teamwork and knowledge sharing. Using Machine Learning, Natural Language Processing, and fine-tuned Large Language Models, EDU-SENSE offers a holistic solution that enhances both academic performance and emotional well-being in young learners.
  • Thumbnail Image
    ItemEmbargo
    Personalized AI System for Maternal Nutrition and Exercise
    (Institute of Electrical and Electronics Engineers Inc., 2025-12-09) Kumara P.S.D.N; Dahanayake Y.D.N.P; Jayalath U.W.T.P.; Ranawaka T.A; Samarakoon, U; Tissera, W
    This work presents a personalized AI system for maternal wellness that generates two coordinated, daily outputs for pregnant users: culturally adapted meal plans and risk-aware exercise prescriptions. In its nutrition module, the combination of a library of curated local dishes and trimester-specific energy corridors with condition-aware rules (diabetes/gestational diabetes, anemia, hypertension, allergies) highlights iron, folate, protein, and calcium instead of full nutrient panels. The exercise module comprises a rules-first risk screen (Low/High) corroborated by a calibrated gradient-boosted classifier, followed by a template-based planner that renders day-level sessions with safety guardrails, trimester adaptations, and video guidance. Evaluation on de-identified datasets (2,000 meal profiles; 970 risk records; 1,934 exercise prescriptions) showed high nutritional adequacy and reliable safety enforcement: daily energy corridors were met on 94.7% of days and ≥3/4 essential nutrients on 91.3%, with 0 allergen violations. The risk classifier achieved AUROC 0.86, accuracy 0.82, sensitivity 0.79, and specificity 0.84. The exercise recommender successfully enforced trimester- and risk-based guardrails, with all plans passing safety checks. These findings, from a study focused on Sri Lanka, suggest that an integrated, objective and culturally based method can provide personalized, safe guidance daily in resource-constrained environments, and serve as a basis for future clinical validation and predictive modeling.
  • Thumbnail Image
    ItemOpen Access
    IoT based System for Early Detection and Monitoring of Mosquito Breeding Sites
    (Institute of Electrical and Electronics Engineers Inc., 2025-12-09) Samarakoon, U; Amarasena, N; Marage P.M.B.S; Rajapaksha R.M.K.P.; Thathsara B.M.L; Thennakoon K.T.A.T.
    This research develops an IoT-based dengue prediction and prevention system integrating real-time environmental monitoring, automated species identification, predictive analytics, and community engagement to combat dengue in vulnerable regions. The study addresses critical gaps in existing literature by fusing IoT sensor networks (temperature, humidity, water-level, and MEMS microphones), epidemiological data from the National Dengue Control Unit (NDCU), meteorological records, and community-reported data via a multilingual mobile application. Methodologically, we employed stratified sensor deployment across urban, semi-urban, and rural zones, coupled with machine learning models (SVM/Random Forest for mosquito classification, CNNs for image-based breeding site detection, and time-series forecasting for outbreak prediction). Results demonstrated 89.25% prediction accuracy, dynamic heatmaps for risk visualization, and high community engagement (120 reports from urban areas alone). The system enables data-driven public health interventions, reducing dengue spread through proactive breeding site elimination and real-time risk communication, representing a scalable paradigm shift in vector-borne disease control.
  • Thumbnail Image
    PublicationEmbargo
    CertiMart: Use Computer Vision to Digitize and Automate Supermarket with Fruit Quality Measuring and Maintaining
    (IEEE, 2022-12-09) Rathnayake, W.P.D.N. P; Geeth Dulanjana, D; Punchihewa, A.V.B.W. G; Anjana, N.W. G; Suriya Kumari, P. K.; Samarakoon, U
    Sri Lanka has a tropical environment, which makes it easy for fruit and vegetable plants to thrive. Vitamins, proteins, and other nutrients are abundant in fruits. However, there is a time when the fruit is considered to be fresh. During this time, many fruit supplier firms continue to supply fruit that is unsafe for ingestion due to inaccuracy in the sorting process when the fruit is taken from the plantation and the introduction of other fruit into an incorrect packing. As a result, detecting food rotting from the point of production to the point of consumption is critical. Inside the market we realize that there is unavailability of sorting of fruits. Just after receiving the fruit into the supermarket, we should have a way to measure freshness of fruit and maintain it. In addition to this ripened method identification and disease identification will be great help to this help.