• Identify development disorders that occur in children during their first five years of life using video mining 

  Perera, Binali (2023)

  "Depression is a serious psychological issue that can influence in individuals of all ages, including teenage students and toddlers. It can be difficult to realize that very young children can experience the depression ...
• Telco Churn Predictor 

  Weerasekera, Namakl (2023)

  "The Telco industry mainly provides prepaid and postpaid mobile packages. Customers select the package based on the information and feedback provided by users. Identifying the package which the particular customer is ...
• Implementation of Change Data Capture using Apache Hive to improve ETL performance in a Big Data Warehouse 

  Wickramaratne, Malith (2023)

  "A Data Warehouse acts as a centralized repository for millions/ billions of historical data. In order to provide historical intelligence, the data storage platform and the ETL process play vital roles with regards to the ...
• Personality Type Identification System using unstructured text in English based on Natural Language Processing and Machine Learning 

  De Seram, Edirisooriya Mohottige Pamodya Jayangani (2023)

  "Perosnality type identification is beneficial to understand the associates. Especially to understand life partner in order to have a successful marriage life, select the most suitable candidates for a company, and understand ...
• Hybrid Movie Recommendation with Sentimental Analysis 

  Paramalingam, Thevaki (2023)

  Recommendation systems are common in recent years. It is a software tool and techniques that provide suggestions based on the customer's taste to discover new appropriate things for them by filtering personalised information ...
• Ensemble learning model to predict the Sri Lankan stock market index using macroeconomic variables 

  Balraj, Jeshreen (2023)

  "The stock market plays an important role in the economy of a country. In Sri Lanka the Colombo Stock Exchange (CSE) is the only market that investors can trade. Institutional investors and individual investors make a ...
• Opinion Mining Model for Sinhala to English Translated Data 

  Weerasinghe W N C, Weerasinghe (2023)

  "In the world, there are many languages. Every language builds with different Characteristics and Patton. Let us take the significant differences between languages. The first and most common difference is the alphabet. ...
• Improving Revenues of Car Services/ Limousine Services by Customer Based Location Prediction Using Machine Learning Approaches 

  Nawarathna, Bharatha (IIT, 2023)

  "With the rise of services like Uber, Uber Lux, Lyft and Lyft Lux, many of the private car services are facing high competition. Since these services are using highly advanced analytical solutions and marketing strategies ...
• Ecommerce Customer Churn Time to Event Prediction System Using Xgboost and Survival Analysis 

  Jayathilake, Chathura (IIT, 2023)

  An important step for a success in any type of company is customer retention. Studies have shown that hiring new recruits is 27% costlier than keeping the existing customers. Therefore every company has addressed the issue ...
• Wild Elephant Attack Detection 

  Algewatta, Janith (IIT, 2023)

  "The Asian elephant has had the closest contact with humans of any animal that has survived in the wild. A deadly war between humans and elephants, each striving for existence, has resulted from the major dangers and ...
• Identify Best Data Connection for Day-Today Usage by Analyzing Network Traffic 

  Jayasinghe, Prasad (IIT, 2023)

  " The research problem is to provide network traffic forecast report to decide the suitable data package for optimal usage. People tend to use a couple of smart devices to accomplish their day-to-day requirements. For ...
• FinFacts – A System to Detect Reef Associated Fish Species in Coastline of Sri Lanka 

  Wewelwala, Sohani (IIT, 2023)

  Sri Lanka is a country with a large marine ecosystem. Many come to relish the true wonders of the aquatic life that this beautiful island has to offer. But there is no proper system in Sri Lanka to help identify the unique ...
• Autism Spectrum Disorder Classification on Electroencephalogram Data using Neural Networks 

  Rajapaksha Mudiyanselage, Maneesha Indrachapa (IIT, 2023)

  "Autism spectrum disorder (ASD) is a neurodevelopmental disorder characterized by the presence of restricted interests, repetitive behaviours, and deficits in social communication. Diagnosis of Autism is currently a ...
• Topic recommendation system for Digital marketing in sports using Natural Language Processing Techniques 

  Jayathilake, Jayanga (IIT, 2023)

  "Using social media data, this research project intended to create a machine-learning model to anticipate current sports themes while appealing to specific user categories. A user-friendly interface was also developed to ...
• Sri Lankan butterfly species identification using deep learning framework (CapsuleNet) 

  Jayakody, Roshanee (IIT, 2023)

  "Sri Lanka in known for its rich wildlife and biodiversity and is home to 245 species of butterflies out of which 26 species of butterflies are endemic to the country. Due to various types of environmental pollution caused ...
• A Machine Learning-Based job forecasting and trend analysis system to predict future job markets using historical data. 

  Senthurvelautham, Sharanjaa (IIT, 2023)

  "Over the last two decades, technological advancements have created more job markets and job opportunities than ever. With the ever-increasing demand, it has become vital for academic institutions and businesses to keep ...
• Prediction of Customer Churn Status and Policy Benefits for Passenger Car Segment of Motor Insurance Based on Machine Learning Approaches Using Sri Lankan Motor Insurance Data 

  Wijerathne, Hewa Welengodage Erangi Hansamala (IIT, 2023)

  "General (Non-life) insurance has based on losses or damage related to particular financial event. Motor insurance is a subset of general insurance and it is a kind of insurance that acquired vehicles and in return offers ...
• Energy Efficient Vm Consolidation in Big Data Computing Environments 

  Jayathilake, T M Chathurika Senani (IIT, 2023)

  "Virtual Machine Consolidation (VMC) facilitates the optimal resource utilisation, energy conservation and quality of service. VMC is a technique which is performed to maintain a minimal number of active hosts by migrating ...
• Prediction of Market Price for Used Cars in Sri Lanka Based on Machine Learning Approaches 

  Basnayaka, Deveendee (IIT, 2023)

  "Due to the import limitations in Sri Lanka, vehicle price had artificially risen to a high level of unusual prices. Consequently the price of secondhand cars get doubled with the increasing demand for used cars. The ...
• Machine Learning Model to Detect Chorus Effect in Synthesized Organ-Like Sounds 

  De Silva, Uditha (IIT, 2023)

  "Chorus audio effect is used widely in the music industry like many other common audio effects such as reverb, distortion, compression, pitch shifting. The purpose of the effect is to make a given single source audio ...

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