BEng (Hons) Software Engineering: Recent submissions

  • Forcasta- Predicting Future Customer Transaction Trends 
    Kaludewa, Punsisi (2023)
    "Analyzing consumer transactional data is crucial for businesses to strengthen customer relationships and attain sustainability in a volatile market. Customer transaction predictions currently heavily depend on human ...
  • Computer Vision Based Motion Capture System 
    Alwis, Anushka (2023)
    "The current state-of-the-art motion capture systems utilize markers placed on actors, tracked by either cameras or wearable sensors. However, this technique has several drawbacks, including the high cost of hardware, the ...
  • Learning Socially Compatible Autonomous Driving 
    Jayawardana, Sanjula (2023)
    "In order to recognize and react appropriately to the driving intentions of human drivers, autonomous vehicles (AVs) must conduct extensive assessments. The inability of AVs to recognize the signs of cooperation offered ...
  • Personalized E-Learning Content Recommendation System 
    Alavudeen, Atheeque (2023)
    "In an increasingly digitized world, online education is continually evolving. Yet, personalizing content for individual learning styles remains a challenge. Our research presents an innovative approach to address this ...
  • Face Waves Cybernetic Poem Generator in Tamil Language Using Human Emotions 
    Parameswaran, Abishan (2023)
    "Emotions are a fundamental aspect of the human experience, and poetry has long been used as a means of expressing and exploring these emotions. However, not everyone is comfortable with or skilled at expressing their ...
  • Prediction Of Rare Genetic Diseases Using Facial Images 
    Kuganesan, Baveega (2023)
    "Medical research has a major problem because of the genetic data's explosive increase, especially when it comes to the early identification and identification of genetic illnesses. Facial images is one potentially ...
  • Croppy 
    Kalapuge, Sandaru (2023)
    Even though over 300 million people suffer from food insecurity, approximately 1.3 billion tons of agri-food will go to waste or be lost each year due to food supply chain inefficiency in the world. The total value of ...
  • Personalized E-Learning Content Recommendation System 
    Alavudeen, Atheeque (2023)
    "In an increasingly digitized world, online education is continually evolving. Yet, personalizing content for individual learning styles remains a challenge. Our research presents an innovative approach to address this ...
  • Classifying Sinhala Sign Language to Text Using Transfer Learning 
    Isthaffa, Ahmed (2023)
    "Effective communication is essential for human beings to solve problems and address issues. Language is a crucial component of communication, and for people with hearing or speech impairments, sign language serves as a ...
  • Forecasting CO2 emissions based on time series. 
    Hennadige, Nivin (2023)
    "The primary goal of this study is to forecast CO2 emissions using time series data. The objective of this research is to create a reliable prediction model that can help decision-makers make educated judgments about ...
  • Web Port Data Leakage Prevention Solution 
    Clement, Rushelle (2023)
    "In recent years, the Internet and related technologies have grown rapidly. It offered the unequaled capability to access and redistribute digital data. However, as more organizations move to technology, the need for robust ...
  • DAugtify: Revolutionizing Computer Vision Performance with Automated Data Augmentation 
    De Silva, Pubudu (2023)
    "The performance of modern Convolutional Neural Networks (CNN) heavily depends on the quality and the volume of the dataset. However, collecting proper training datasets in many real-world domains is well-known to be ...
  • Instagram Sentiment Analysis for Cyberbullying Comments 
    Zahil, Fathima Ilma (2023)
    "Instagram, as one of the leading social media platforms, has gained immense popularity worldwide. However, with its widespread use, the issue of cyberbullying has become a significant concern. Cyberbullying involves the ...
  • Early Diabetes Prediction System for Sri Lankans using Machine Learning and Retinopathy Image Detection 
    Yamasinghe, Sachintha (2023)
    "Diabetics are a main problem that people face nowadays. In Sri Lanka, diabetics have been widely spreading among adults and the young generation. And there are diabetic types called normal diabetics and diabetic retinopathy. ...
  • Reviewly 
    Withanage, Sashminda (2023)
    "The proposed system Reviewly is capable of analysing and providing the user with a sen- timent score and a summary of a particular code mixed review. When a review is given, the proposed model will transliterate into ...
  • Neural Network-based Risk Detection for Dyslexia and Dysgraphia in Sinhala Language Speaking Children 
    Withana, Budhvin (2023)
    The problem of Dyslexia and Dysgraphia, two learning disabilities that affect reading and writing abilities, respectively, is a major concern for the educational system. The traditional risk detection methods for Dyslexia ...
  • Sri Lankan Rubber Diseases Detection 
    Withana, Wehan (2023)
    "Rubber has a long history of production and exportation in Sri Lanka, where it is a significant earnings agricultural product. It is widely planted throughout the nation's many areas and provides many farmers with a ...
  • “ADOID” A Deep Learning Approach for Detecting Involuntary Disruption in Speech 
    Wijetunge, Ieshitha (2023)
    "Involuntary Disruption in speech also known as Stuttering/Stammering is a communication disorder characterized by disruptions in the normal flow of speech, which affects millions of people worldwide. Accurate and early ...
  • DepFlow: Detecting Depressive Posts in Social Media using Sinhala and English Mix-coded Text Patterns 
    Wijethilake, Rusiru (2023)
    "Depression is one of the most serious medical conditions in the world that affects millions of people worldwide. In recent years, social media act as a popular platform for individuals to express thoughts and emotions ...
  • The driver drowsiness detection system using Raspberry Pi with a night vision camera, and facial landmarks 
    Wijesinghe Arachchige, Kasuni (2023)
    "Driving while fatigued is a serious issue that raises the possibility of vehicular accidents. Driver drowsiness is a primary contributor to sleep deprivation, which is dangerous for road safety. The purpose of this research ...

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