"This research study aims to investigate and identify effective strategies and tools for tracking and documenting the progress of autistic students in traditional inclusive classroom settings. The primary objective of the ...
The prevalence of skin diseases globally necessitates advancements in diagnostic methodologies. This project introduces a Skin Disease Detection and Classification System employing machine learning to enhance accuracy and ...
"This research explores the use of Natural Language Processing (NLP) and deep learning
techniques for hate speech detection in Sinhala tweets with a specific classification. With the
increasing prevalence of digital ...
"One of the biggest challenges in the field of personalized health management is extracting
biometric data from face images. In order to solve this issue, a comprehensive system that
analyzes facial features and extracts ...
"The World Health Organization (WHO) has identified Alzheimer’s disease as a worldwide health priority. Early detection of the disease is critical since the traditional disease identification methods take a long time to ...
Since the Electric Vehicle (EV) industry is growing fast in Sri Lanka, EV users need to charge their vehicles especially when traveling far. Currently, the major difficulties are finding the route to the nearest charging ...
"Semantic segmentation annotates each class in an image pixel by pixel. Segmenting cardiac
magnetic resonance imaging (MRI) is crucial for diagnosing various cardiac pathologies such as
coronary diseases. This process ...
"In the agricultural sector, identifying nutrient deficiencies in crops such as black pepper plants remain a critical yet challenging task. Without timely detection and intervention, these deficiencies can significantly ...
"Parkinson's Disease (PD) Micrographia poses a significant challenge in medical education and diagnosis. This document outlines the creation of the Artographia system, a novel application designed for PD Micrographia ...
"The challenge of text summarization in this project, is to tackle the challenge with the goal of extracting important information from vast amounts of textual content. In the current digital era, when information is widely ...
This project focuses on enhancing the analysis of brain MRI images by employing Convolutional Neural Networks (CNN) and generating model insights through Explainable Artificial Intelligence (XAI). The primary challenge ...
"Counterfeit drugs pose severe risks to public health due to compromised treatment efficacy and safety. This research presents a blockchain-based solution to enhance the authenticity and traceability of pharmaceuticals in ...
"Neural Machine Translation (NMT) has experienced rapid advancements in recent years, particularly with the advent of large language models such as BERT and GPT. These developments have streamlined the translation process. ...
"With continuous advancements in social technology, image/video and textual data growth has been rapid. While audio captioning has seen effective implementation, image captioning demands further meticulous attention in ...
"The RadSult project addresses critical challenges in radiology, such as diagnostic inaccuracies, data overload, and access disparities, by developing a machine learning-based decision support system (DSS) tailored for ...
"The selection of furniture plays a crucial role in interior design, as it not only contributes to the aesthetics of a space but also reflects the personality and preferences of the occupants. However, interior designers ...
"Social media has become an integral part in everyone’s lives, facilitating spreading of information, communication, and networking. However, one of the main challenges that all social media platforms are currently facing ...
The fashion industry is facing a significant challenge with the rise of fast fashion, leading to wardrobe
clutter and environmental concerns. Young adults, in particular, struggle with managing their
wardrobes efficiently, ...
"The MoodMarket project is about addressing the online shopping experience by utilizing facial recognition technology to personalize clothing recommendations. Traditional e-commerce platforms lack the personal touch of ...
"In a world where dietary needs vary significantly based on factors such as health status, exercise
levels, and personal objectives, achieving tailored dietary goals can prove challenging. The
abundance of recipes available ...