Problem: Kidney stone disease imposes a significant burden on global healthcare systems, particularly in developing countries where treatment costs and limited diagnostic access (e.g., CT scans) are major challenges. The ...
Problem: The complexity in estimating motor insurance rates brought attention to the need for technologies that are both accessible to the general public and capable of properly predicting auto insurance rates. The main ...
The management of administrative, academic, and communication processes within tuition institutions in Sri
Lanka remains largely fragmented and inefficient. Most existing solutions either rely on disconnected systems ...
Beaches serve as popular recreational spaces, attracting a multitude of visitors. However, the inherent risk of drowning poses a significant concern, necessitating advanced safety measures. This project tackles the critical ...
Lung cancer continues to be a significant worldwide health issue, mainly because it is often diagnosed at a late stage and the screening method is complicated. Conventional detection methods frequently involve intrusive ...
Kidney stone disease is a prevalent urologic problem, and recurrence rates are high, thus it
impacts patients' quality of life and health care costs. Diagnosis in most methods is imaging and invasive procedures; hence, ...
Misidentification of medication still has a serious effect on healthcare, aggravated by language barriers and looking similar medications. Current identification systems are unusable systems in diverse environments. To ...
The rapid advancement of large language models has made AI-generated text increasingly difficult to distinguish from human-written content, raising concerns around content authenticity, misuse, and trust. Existing detection ...
The barriers to communication between Deaf or Hard-of-Hearing people and the general public continue to be a serious social concern, often due to a lack of use and understanding of sign language. While various studies have ...
The increasing number of intrusions in homes or private property is a huge issue which prevails in
the society. The intrusions lead to loss of personal items and sometimes causes threats to human
life specifically in ...
The analysis of cricket right-arm fast bowling techniques can be characterized as fundamental in improving performance and preventing injuries. But still the advanced systems employing the latest technologies and thus ...
The analysis of legal documents is a challenging task since legal language is complicated, large
datasets are involved, and accurate comprehension is required. In this research, we construct a
Natural Language Processing ...
Recommendation systems are widely used in many applications to enhance user experience by reducing the impact of the information overload caused by the rapid evolution of technology. However, such systems often face the ...
This research presents a deep learning based diagnostic system designed to enhance the early detection of Retinitis Pigmentosa using Fundus Autofluorescence imaging. Retinitis Pigmentosa is a rare inherited retinal disorder ...
The rapid expansion of digital device usage has led to a surge in Computer Vision Syndrome
(CVS), significantly affecting users' eye health, productivity, and overall well-being. Existing
CVS detection methods rely ...
Large Language Models have restructured natural language processing by the ability to produce fluent, human-like answers. However, their tendency to cause hallucinations- believable, but factually inaccurate material is a ...
The used smartphone market, particularly for iPhones, faces significant challenges related to
fair price estimation due to various influencing factors such as physical damage and market
trends. Current valuation processes ...
This chatbot is powered with advanced NLP models, combined with XAI, to allow the
detection not only of direct expressions of suicidal thoughts but also the indirect, subtle cues
from a person that might indicate poor ...
Depression is a significant public health issue with serious personal and societal consequences. Traditional methods for diagnosing depression, such as self-reported questionnaires and clinical interviews, often rely on ...
Problem: Email is a popular target for attackers due to the huge number of emails that are
exchanged every day. Phishing is becoming an increasingly useful tactic to take advantage of
people's increased reliance on ...