Recommendation systems are widely used in all domains. It is addressed in many ways. Which
includes content-based filtering, Collaborative filtering and combination of content based
filtering and collaborative filtering ...
Traditional, static authentication systems leave user sessions vulnerable to post-login threats like session hijacking. This research project, the Aegis Protocol, addresses this gap by developing an advanced continuous ...
Skin cancer is one of the most prevalent cancers in the world, and hence early detection is crucial to improve patient outcomes. Traditional diagnosis methods such as visual examination and biopsies can be subjective, ...
This project focuses on improving the accuracy and efficiency of bone fracture detection in X-ray images using deep learning techniques. Traditional diagnostic methods often struggle with subtle or complex fractures, ...
Most real-world images are degraded by motion blur due to either camera shake or fast moving objects. This prevails as a great challenge for many applications in computer vision such as object detection and scene understanding, ...
Problem: PCOS is a very common endocrine disorder in reproductive-age females characterized by complex symptoms of hormonal imbalance, irregular menstrual cycle, and infertility. The traditional diagnosing methods include ...
The retail clothing sector continues to face significant challenges in delivering seamless and personalized customer service, particularly during peak shopping periods when human support is limited and response times ...
The current generation of personalised food planning systems does not incorporate individual
cultural eating customs nor community accessible ingredients nor fitness needs-specific dietary
requirements. The present ...
This project investigates how personalization and contextual understanding can enhance the effectiveness of NLP-based mental health chatbots for student support, focusing on the design and implementation of MindMate — an ...
In Sri Lanka, pest infestations pose a major challenge to agricultural productivity. Many traditional farmers, lacking formal education, struggle with accurate pest identification and selecting suitable pesticides. Current ...
As one of the most common sports, tennis also has a high rate of injury-especially among
beginners and previously injured players. General issues such as a torn rotator cuff, tennis elbow,
and pain in the lower back ...
Fabric quality assessment is a critical process in the textile sector that has, until now, relied on
manual checking, which is time consuming, untrustworthy, and prone to errors. This causes
colossal economic losses ...
Electronic Health Records (EHR) are a very valuable data mine for clinical data analytics. The
prevalence of missing data in EHR poses a significant challenge to healthcare analytics and patient
care. This affects the ...
Credit card fraud represents a trend within the financial sector that creates tremendous monetary loss and lost consumer confidence. Traditional fraud detection methods, founded on static models and predefined rules, have ...
Problem: Individuals with allergies often struggle to identify potential allergic reactions when
consuming packaged food or taking multiple medications, especially in cases where ingredient lists
are complex or not ...
The PerfectFit solution addresses the challenge of accurately classifying women's body shapes
from the uploaded images to provide personalized fashion recommendations. Traditional methods
relying on manual measurement ...
The evaluation process of a mobile and web-based inventory management system
targets small and medium-sized enterprises that operate in Sri Lanka. Automatic stock
management along with supplier warning systems and stock ...
Accurate and efficient diagnosis of neurological disorders remains a significant challenge due to the complexity and similarity of imaging patterns across conditions such as brain tumors, stroke, and dementia. Existing ...
Traditional educational methods often fail to retain students' engagement and motivation. They
also lack Real-World Relevance, specifically in subjects like physics. Many researchers have
conducted studies integrating ...
Problem: The fashion industry currently lacks the ability to provide personalized fashion tips
based on individual body characteristics and skin tones. Nail decoration has become increasingly
popular, but individuals ...