• Machine Learning-Based Pesticide Recommendation System for Greenhouse Farming in Sri Lanka 

  Amunuthuduwa, Lisaka (2025)

  In Sri Lanka, pest infestations pose a major challenge to agricultural productivity. Many traditional farmers, lacking formal education, struggle with accurate pest identification and selecting suitable pesticides. Current ...
• "ATP Aceguard - Predictive Analysis of Tennis Shot Techniques and Associated Injury Risks Using Hybrid Cnn-gru-attention Models " 

  Wedamulla Mudalige, Vinuja (2025)

  As one of the most common sports, tennis also has a high rate of injury-especially among beginners and previously injured players. General issues such as a torn rotator cuff, tennis elbow, and pain in the lower back ...
• FabricGuard : Fabric Quality Assessment Using Transfer Learning 

  Hendahewa Weerakoon, Tashini (2025)

  Fabric quality assessment is a critical process in the textile sector that has, until now, relied on manual checking, which is time consuming, untrustworthy, and prone to errors. This causes colossal economic losses ...
• A transformer neural network for EHR data imputation 

  Hewa Dewage, Emith Dinsara (2025)

  Electronic Health Records (EHR) are a very valuable data mine for clinical data analytics. The prevalence of missing data in EHR poses a significant challenge to healthcare analytics and patient care. This affects the ...
• Leveraging Change Point Detection for Enhanced Credit Card Fraud Detection 

  Kankanam Arachchi Haggallage Don, Vihangi (2025)

  Credit card fraud represents a trend within the financial sector that creates tremendous monetary loss and lost consumer confidence. Traditional fraud detection methods, founded on static models and predefined rules, have ...
• Food-Drug Interaction and Allergy Prediction System Using Machine Learning 

  Prabuddha, Sahan (2025)

  Problem: Individuals with allergies often struggle to identify potential allergic reactions when consuming packaged food or taking multiple medications, especially in cases where ingredient lists are complex or not ...
• PerfectFit-An Intelligent Fashion Recommendations System Combining Voice input, Skin Tone and Body Shape Analysis, and Explainable AI for Transparent and Personalized Style Guidance. 

  Mendis, Gishya (2025)

  The PerfectFit solution addresses the challenge of accurately classifying women's body shapes from the uploaded images to provide personalized fashion recommendations. Traditional methods relying on manual measurement ...
• Inventory Management System for Small and Medium Scale Retail Grocery Shops in Sri Lanka 

  Dodampe Rathnayake, Ryan Reeshan (2025)

  The evaluation process of a mobile and web-based inventory management system targets small and medium-sized enterprises that operate in Sri Lanka. Automatic stock management along with supplier warning systems and stock ...
• BrainGuard: Unified Approach for MRI-Based Detection of Brain Diseases Using Mixture of Experts 

  Hewawasam Gurukandage, Ganindu (2025)

  Accurate and efficient diagnosis of neurological disorders remains a significant challenge due to the complexity and similarity of imaging patterns across conditions such as brain tumors, stroke, and dementia. Existing ...
• Developing an Immersive Educational Game for Teaching Physics Theories and Their Application in Real-world Scenarios 

  Amarasena, Buddhima (2025)

  Traditional educational methods often fail to retain students' engagement and motivation. They also lack Real-World Relevance, specifically in subjects like physics. Many researchers have conducted studies integrating ...
• Nail Shape and Color Recommendations Through Hand Shape Detection and Skin Color Extraction with Machine Learning 

  Gunasekera, Hasandi (2025)

  Problem: The fashion industry currently lacks the ability to provide personalized fashion tips based on individual body characteristics and skin tones. Nail decoration has become increasingly popular, but individuals ...
• CardiacPredict: Predicting Cardiovascular Disease Risk Using Ensemble Models and Explainable AI 

  Panagoda Vidanalage, Dineth Chandimal (2025)

  Cardiovascular disease (CVD) continues to be the primary cause of global morbidity and mortality, highlighting the critical need for accurate risk prediction tools. Traditional risk models, such as the Framingham Risk ...
• Cardiovascular Risk Assessment Using Remote Photoplethysmography Signal 

  Ranepurage, Dilanka (2025)

  Cardiovascular diseases (CVDs) are a leading health risk in the world, and accurate and convenient monitoring of cardiovascular parameters such as heart rate (HR) and oxygen saturation (SpO₂) is required. Contact-based ...
• Dermapecia: Hair Loss, Scalp Disease and Dandruff Detection System 

  Waidyanayake, Kusal (2025)

  One of the key parts of a human face is head and hair. Hair makes a face shine out more and any problems on the scalp and baldness can cause Anxiety and stress. Anxiety and stress are one of the causes of balding and ...
• Cine Cast: Box Office Forecasting Using Hybrid ML Model & XAI. 

  Umerthambi, Amjad (2025)

  Cinema industry is a form of entertainment that makes the audiences dive into the movie creators world. However, behind the scenes there are a lot of stakeholders which is the reason why it's a risky business yet a multi ...
• Plant Disease Detection System (GreenShield) 

  Paskuwalhandi, Lahiru Sampath (2025)

  Plant diseases cause significant agricultural losses worldwide, creating an urgent need for fast, accurate, and automated disease detection methods that can support effective crop management. Traditional diagnosis approaches ...
• Predicting Gemstone Prices Using Attribute Analysis 

  Azhar, Yoosuf (2025)

  The valuation and pricing of gemstones are challenging, traditional appraisal methods since they are heavily dependent on expert opinions. This project provides one such solution in developing a gemstone price prediction ...
• "siNews : A Domain-Specific Hybrid Approach for Summarizing Low-Resource Sinhala News" 

  Paris, Mahipala Kevin (2025)

  A large number of news articles are created and published every day, and users can't browse through all available news to seek their interested news information. There is a lack of standardized datasets for Sinhala, which ...
• CliniGuide - Foundational Framework for Medication Recommendation based on Reasoning 

  Selvaraj, Vidush Raj (2025)

  The healthcare industry requires precise, context-aware medication recommendations to support clinical decision-making and patient self-management. Existing AI systems often rely on generic models providing insufficient ...
• Aira Generalized Detection of Ai-generated Images Leveraging Explainable Ai 

  Paraneetharan, Devarn (2025)

  Artificially generated images have rapidly risen in both quality and quantity, largely driven by their popularity across various domains due to their relative ease of access and use. This poses threats of misinformation ...

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