Annual Research Conference of SLIIT CITY UNI [ARCSCU]

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The Annual Research Conference of SLIIT City Uni (ARCSCU), organized by the academic departments of SLIIT City Uni, which provides a dynamic platform for undergraduate and postgraduate researchers, scholars, and professionals to share their work, engage in academic discourse, and foster innovation. With a focus on encouraging student participation, the conference features paper presentations, poster sessions, interactive workshops, and publication of selected research in conference proceedings

https://arcscu.sliitcityuni.lk

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Start date: 2025Subject: search.filters.subject.OCR

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Now showing 1 - 3 of 3
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    PublicationOpen Access
    Personalized Health Monitoring System to Track and Visualize Serum Creatinine Levels of Chronic Kidney Disease Patients: Creatinine Care
    (SLIIT City UNI, 2025-07-08) Fernando, N.R.T; Jayaweera, Y.D
    Creatinine Care is a mobile application developed to monitor and manage serum creatinine levels in chronic kidney disease patients. Chronic kidney disease is a significant global health issue affecting both adults and children. Many patients are unaware of their kidney health status, leading to sudden spikes in creatinine levels and emergency hospitalizations. Serum creatinine is a critical biomarker used in estimating kidney function, particularly through the glomerular filtration rate formula. However, most existing kidney-related applications focus on general awareness, basic health tracking, and diet plans, without offering specific creatinine-level monitoring or paediatric support. This application addresses these gaps by offering a dedicated platform for both adult and child kidney patients to track creatinine levels over time. Key features include digital report storage, automated data extraction, visual trend analysis, checkup reminders, and personalized recommendations based on the base creatinine level. The system is developed using React Native with Expo Go for the frontend and SQLite for local storage. A Node.js Express backend supports Optical Character Recognition through Tesseract.js for extracting data from scanned reports. Evaluation involved user acceptance testing and text extraction accuracy testing. The Optical Character Recognition achieved a word-level accuracy of 93.33% on high-quality images and 76.92% on low-quality images, with an overall upload success rate above 86%. The results demonstrate the system's effectiveness in reducing manual data entry, improving patient awareness, and supporting real-time monitoring. Creatinine Care introduces a novel, allin- one digital tool for personalized chronic kidney disease management in paediatric and adult patients.
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    PublicationOpen Access
    Trusty Record - Decentralized Medical Record Management System using Blockchain and Artificial Intelligence
    (SLIIT City UNI, 2025-07-08) Vijayaraj, A; Worthington, A.E
    Increasing 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.
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    PublicationOpen Access
    CacheBook: A Smart Personal Finance Tracker with OCR-Based Expense Logging and Visual Reporting
    (SLIIT City UNI, 2025-07-08) Perera, P.T.; Vithana, V.N
    “CacheBook” is a mobile application designed to simplify personal finance management by integrating real time expense tracking with automated receipt scanning. Built using React Native and Firebase, the application enables users to log daily expenses, set financial goals, and visualize spending through reports. A key innovation of “CacheBook” is the use of Optical Character Recognition (OCR) technology, which allows users to scan physical receipts by reducing manual entry and enhancing data accuracy. The app categorizes expenses, provides visual summaries via charts, and alerts users when spending goals are exceeded.