Computer Vision Syndrome (CVS) is a prevalent disorder in the computer age due to prolonged
exposure to screens, leading to eye fatigue, headache, and other associated discomforts.
Existing technological remedies provide ...
Diet-related health issues that continue to increase have created an immediate requirement for real-time nutritional evaluation tools. The current methods for nutrition estimation require either time-consuming processing ...
The lack of facilities for hearing-impaired people might create severe communication barriers. Most current solutions in the domain of lip-reading systems are being developed in English and a few other widely spoken ...
Teaching methods in music lessons are commonly structured involving instructors, who do not
offer students practicing individually timely feedback. This puts a negative twist on the method
since the students cannot follow ...
This project presents an AI-powered chatbot solution that has the potential to aid dog skin
disease diagnosis for dog owners using the combination of image recognition and NLP. This
system utilizes an image classification ...
Skin burns can be classified into three main groups according to the different characteristics as first-degree, second-degree and third-degree burns. These different types of burns need different treatments and care ...
Effectively understanding complex scenes in real-time remains a major challenge in computer vision, especially with unseen or dynamic elements. Traditional models struggle to generalize across environments and lack contextual ...
This project addresses the challenge of translating hand-drawn user interface (UI) sketches into digital, high-fidelity UI designs, an essential task for accelerating early-stage design processes. Traditional methods of ...
Tomato plants have a high specificity of different diseases, which reduce crop yield and fruit
quality, directly reducing agricultural productivity. Most current solutions are restricted to disease
detection alone and ...
The increasing adoption of Point of Sale (POS) systems in Small and Medium-sized
Enterprises (SMEs) has underscored the need for advanced functionalities such as
real-time inventory management and customizable role-based ...
Globally, Non-Small Cell Lung Cancer (NSCLC) ranks amongst the cancer types with the highest mortality rates. Even with progress in medical imaging and treatment, establishing diagnosis as an objective remains a challenge ...
As Sri Lanka’s dominant staple and major harvested crop, rice supports rural livelihoods while serving as a critical component of national food security and economic resilience. However, rice production is increasingly ...
The evaluation of an employee continues to be a complicated issue in industries in general, and
especially in e-commerce, retail, and supply chain management, where frequent and accurate
performance measurement is ...
The Research Paper Acceptance Prediction System leverages machine learning (ML)
and natural language processing (NLP) to predict the likelihood of research paper acceptance
at academic conferences. The traditional peer ...
The increasing use of distributed, crowdsourced data in federated learning introduces major challenges related to non-IID data distributions, user privacy, and limited computational capacity on resource-constrained devices. ...
The increasing demand for toddler-oriented online education has highlighted a gap in web-based platforms that integrate interactive learning with speech recognition. While most existing solutions are mobile applications, ...
The rapid growth of individual traders in volatile markets like cryptocurrency and Forex highlights the need for a structured trading approach. Many traders, especially beginners, lack organized trade journaling, leading ...
Problem: The dawn of the multimodal search systems in the e-commerce domain has been
promising with an expansion of the variety of online product catalogs. These multimodal systems
present forward a challenge for efficient ...
Greenhouse farming is a crucial aspect of modern agriculture, enabling crop growth in regulated
conditions. Despite this, traditional greenhouse management often depends on manual labor,
which can be inefficient and ...
The magnified demand for precise 3D reconstruction in computer vision and augmented reality fields has persuaded significant advances in model architectures that are capable of recovering voxel 3D representations from ...