BEng (Hons) Software Engineering: Recent submissions

  • Hyper-automation for web testing. 
    Senanayake, Pathum (2023)
    "During testing, functional testing is a typical practice to ensure that a website's functionality works correctly. Several robotic process automation tools are available for this testing, such as Mabl and Google Recorder. ...
  • CVS Check- Computer Vision Syndrome Prediction 
    Samarawickrama Kodikarage, Disney (2023)
    "Computer vision Syndrome (CVS) refers to the harmful effects on the eyes and eyesight caused by continuous use of digital devices such as computers, smartphones, and tablets. These effects can cause discomfort, eyestrain, ...
  • SerpIn: A Deep Learning approach for venomous & non-venomous Serpents and Insect species Identification 
    Samarasinghe, Buddhin Saroj (2023)
    "In recent years snake and insect attacks have become a huge problem worldwide. Most species have similar colors and shapes, which makes it hard to tell them apart using typical techniques. Similarly, identifying different ...
  • Deep Learning based Multi-Modal Emotion Variation Detection 
    Rubasin Siriwardhana, Vinuri (2023)
    "People need to be able to talk about their feelings in a healthy way, especially in healthcare and counselling settings. But because of things like social rules, anxiety, and cultural background, people often find it hard ...
  • Hybrid Approach in Detecting Chronic Kidney Disease 
    Refa, Abdul (2023)
    "In the realm of healthcare, the integration of advanced technologies has revolutionized disease detection and diagnosis. This project presents a sophisticated Disease Detection System leveraging a Hybrid Ensemble Model, ...
  • Detection and Correction of Stuttered Speech in Audio Files 
    Ravindu, Alexio (2023)
    "Stuttering is a common speech disorder which involves disruptions or disfluencies in a person’s speech at all ages. Millions of people experience stuttering, which warrants consideration for a number of reasons such as ...
  • Pulmonary disease identification using machine learning and deep learning techniques 
    Rathnayake, Chandu (2023)
    "The early detection and diagnosis of lung diseases can greatly improve the prognosis of affected individuals. However, the traditional methods of diagnosis rely heavily on subjective assessments of symptoms and medical ...
  • EMOTIVO : Face Emotions Recognition for Occlusion and Facial Posture 
    Rathnapriya, Manoj (2023)
    "Facial emotion recognition has been a popular and intensively studied topic in computer vision and Artificial intelligence. This technology has numerous potential applications, including mental health diagnosis, ...
  • SinhalaTextGenie - A Sinhala Language Model Trained To Predict and Generate Words 
    Rashad, Mohamed (2023)
    "As the use of Sinhala in the digital space continues to increase, there is a growing need for advanced Sinhala NLP tools that can enhance user experience and contribute to the language's development. However, Sinhala ...
  • Thamizhi – A Tamil Grammar Checker using NLP 
    Rajkumar, Shrikrishmethaa (2023)
    "Tamil Language is popularly known for its critic and rich in literature which has history for more than millenniums. It is complex and has evolved throughout the years and has been changed a lot in its writing methods. ...
  • Face Recognition-Based Attendance System 
    Rajagalgoda Gamage, Samadhi (2023)
    "The Face Recognition Attendance System project intends to use facial recognition to automate the attendance process in online classes. The time-consuming and error-prone manual arrival method, which can result in ...
  • TeleDerm - Skin Disease Identification Teledermatology Mobille Application 
    Raj, Anuththara (2023)
    "This Research presents an image classification teledermatology app that can identify common skin diseases in Sri Lanka. The app is particularly relevant due to the increased awareness and attention towards skin diseases ...
  • MetaMind : A Meta-Ensemble Approach for Predicting the Future Price of Cryptocurrency 
    Ragunathan, Ashwinth (2023)
    "Predicting the price of cryptocurrencies is a challenging task due to their volatile nature. Even a slight shift in market trends can lead to significant price changes, making it difficult to accurately forecast future ...
  • Real Time Cricket Shots Re-correction System Using Pose Estimation 
    Pitigala Liyanage, Tharindu Damith (2023)
    "Cricket is a globally beloved sport, boasting a vast and passionate following. Every aspiring cricket player aspires to execute their shots flawlessly, with precision and finesse. The importance of maintaining proper ...
  • Artificial Intelligence Based Chatbot For Hotel Industry 
    Pieris, Sachini (2023)
    "Customer satisfaction is crucial for the success of hotels in the hospitality industry. Providing efficient and effective customer service is a significant challenge, which can be addressed by developing a chatbot that ...
  • Sentiment Classification with contextual analysis on game reviews using Natural Language Processing 
    Perera, Ashen (2023)
    "The increasing popularity of gaming has led to a significant increase in the volume of game reviews, making it challenging for game developers and players to monitor the sentiment associated with a particular game. ...
  • Eco Sort – Advanced Waste Classification System 
    Perera, Dinithi (2023)
    "Effective waste management and recycling plays a pivotal role in mitigating environmental pollution and fostering sustainability. Existing waste classification methods employing machine learning can identify waste ...
  • Automatic Knee Osteoarthritis Detection and Severity Grading Using Deep Learning 
    Perera, Tharidhi (2023)
    "Knee Osteoarthritis is a crippling condition that can limit the physical movement of individuals by mainly affecting the joints that bear majority of the body weight such as the hips, hands and most frequently, the knee ...
  • Citrus fruit disease identification application 
    Perera, Oshadha (2023)
    "The Citrus Fruit Disease Identification System is a cutting-edge system that seamlessly combines disease diagnosis and fertilizer suggestion features created exclusively for Citrus plants. This cutting-edge system gives ...
  • Hoop Insight 
    Perera, Digantha (2023)
    "This study describes a basketball player recommendation application that uses machine learning algorithms to identify the best players at each position. The program was constructed utilizing both the decision tree and ...

Search


Advanced Search

Browse

My Account