BSc (Hons) Computer Science: Recent submissions

  • UI Color Recommendation System 
    Ahamed, Shakir (IIT, 2023)
    All of the components that users interact with make up a software application's user interface, and color is crucial to this process. In addition to improving a website's looks, a strong user interface optimizes a website's ...
  • EvaluAIze: Aspect based Sentiment Analysis for Review Analysis System 
    Gunasekera, Disuri (IIT, 2023)
    "Customer reviews are absolutely vital in today's digital world for determining a product or service's reputation. Businesses can obtain insightful feedback from their customers through a well-thought-out customer review ...
  • Video object detection system for Paddy plant diseases identification 
    Gunawickrama, Kaveen (IIT, 2023)
    In this paper, we present a mobile application for the detection of diseases in paddy plants using videos. The system utilizes machine learning algorithms, including YOLOv7 and TFlite, for detecting and classifying different ...
  • Laptop Recommendation System 
    Balathayalan, Sharangan (IIT, 2023)
    "It is challenging for laptop manufacturers to sell their products and for buyers to choose their laptop due to the abundance of specs and brand names on the market. The purchase decision an average buyer faces is a tough ...
  • Skin Xpert Skin Disease Diagnosis using Image Analysis 
    Murugananthagopal, Jenoshanan (IIT, 2023)
    "Skin disease diagnosis is a critical task in dermatology, early diagnosing skin diseases is a key factor in getting the right treatment and preventing complications. Skin Xpert is an easy-to-use system that uses advanced ...
  • AlapanaGen - An Automated Alapana Generating System 
    Jayatharan, Vithushigan (IIT, 2023)
    "The recent advancements in deep learning techniques and computational power have promoted the development of novel approaches for music generation. In this study, generating alapana, an improvisational form of Carnatic ...
  • Motion Picture Identification using Audio Processing and Natural Language Processing 
    Abooubaidha, Muhammad (IIT, 2023)
    "There are more than millions of motion picture which are present in today’s world. All of them provide entertainment for the user which help them spend their time. And yet there is no application out there to identify ...
  • Thyroid disease prediction using advanced machine learning approaches 
    Hewa Marambage, Yasiru Rashan (IIT, 2023)
    "Thyroid glands disease is the most common endocrine disorder which can be seen around the world after diabetes. The Women between the ages of 17 to 54 are mostly affected by this disease. The last stage of thyroid disease ...
  • Heterogeneous Information Network-based Music Recommendation System Using Deep Learning 
    Goonetilleka, Linuka (IIT, 2023)
    The proposed system aims to enhance an existing music recommendation system using Heterogeneous Information Networks (HINs) and Graph Neural Networks (GNNs). It introduces a deep learning model to improve accuracy and ...
  • Screening and Intervention of Learning Disability in Children 
    Safwan, Hilal (IIT, 2023)
    "Learning Disability in children is affected in various way such as some students drop out from school and others don’t get any chance to get into the university. Therefore Learning disability is one of the major problem ...
  • SinDOC: A Combined Approach of Summarizing Low Resource Sinhala Language Documents 
    Ziyard, Hamza (IIT, 2023)
    "Summarization is one of the NLP related tasks that is widely researched during the recent times. Due to the large amount of data stored on the internet, users do not consume all information that is available. They will ...
  • A Machine Learning Approach for Depression Detection In Sinhala-English Code-Mixed Language 
    Fazal, Fahd (IIT, 2023)
    The most significant and prevalent mental illness in the world today is depression. Depression is a treatable condition. In Sri Lanka, people would not recognize depression in its earliest stages, when left un-treated ...
  • Depression prediction using Machine Learning 
    Senaratne, Buddhi (IIT, 2023)
    "Millions of individuals throughout the world suffer from depression, which is a common mental condition. It is a serious public health issue, and it can have a variety of effects, from social and personal problems to ...
  • PureVisio: Explicit Content Blocking on the Client-side using a Hybrid Identification Model 
    De Croos, Thomy Gevin (IIT, 2023)
    "The growth of pornography on the internet had created a significant challenge for parents and others worried about exposing their children to graphic sexual content. Porn detection algorithms were developed to identify ...
  • Automated Deception Detection System Using Human Facial Emotions and Eye Blinking 
    Ranaweera, Charani (IIT, 2023)
    "Deception detection plays a critical role in high-stakes situations like suspect interrogations, as it greatly influences the outcome of criminal investigations. The reliability of a suspect's confession is crucial for ...
  • Ear-sys - an Ensemble Approach Using Super Learner for Employee Attrition Prediction and Retention System 
    Gamage, Thinayani (IIT, 2023)
    "Employee attrition has become a major concern for organizations, and retaining employees has become crucial for their success. This project proposes an ensemble approach using the Super Learner technique, EAR-Sys, for ...
  • Similar Legal Judgment Recommendation for Attorneys. 
    Iyas, Maaiz (IIT, 2023)
    Legal judgement recommendation systems are becoming increasingly popular in the legal sector because they can help attorneys save time and deliver more accurate recommendations to their clients. As a result of these benefits, ...
  • Phaedra - Image Enhancement on Real Time Quality Assessed Images 
    Jayakumar, Amresh (IIT, 2023)
    "Beginner mobile photographers and amateur mobile photographers face the constant problem of not being able to take good quality mobile images if they are not well versed in the aspect of photography and if they do not ...
  • UDeblur - An Image Deblurring System 
    Sivanathan, Aarany (IIT, 2023)
    "Blurred images are a common problem in many industries, including technology, security, and photography. Image blurring can happen for many reasons, including camera shake, movements, and low-light conditions. As a ...
  • Restaurant Recommendation for Group of Users 
    Hunais, Abdullah (IIT, 2023)
    "In an era where dining out has become a quintessential social activity, selecting a restaurant that pleases everyone in a group can be a challenging endeavor. This project presents a novel Group-Based Restaurant ...

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