This paper describes a machine translation system that is capable of translating a grammatically correct Sinhala sentence in to its corresponding English sentence. This is the first Sinhala to English machine translation system, which comes with features such as an inbuilt keyboard, an inbuilt dictionary, an integrated word processor based on Unicode fonts, a grammar tool, a Sinhalese grammar checker, an add word tool, and a debugging tool. With the expansion of the world, English has become an important language that people should learn, as the majority of the worldwide population understand and carry out their day-to-day work in English. In addressing this need, we thought of taking up the challenge of building, a Sinhala to English language translator. To build this system, we used the transfer-based machine translation approach, which is a rule-based approach. At present, the system has achieved a success rate of 75% with a corpus of 150 sentences.

Dyslexia is the most common disorder in the world that have weaknesses in writing, reading and speaking. As a well spread disorder there are several stages of Dyslexia that has to recognize before giving the treatments. The current treatment is known as “Speech Therapy” which is given by a doctor or a therapist in a hospital or in a special education unit. These weaknesses are more wide spread and effects one in five people in the world. Dyslexia also runs in families. It can be recognized in kindergarten but if not it will be a huge disadvantage and will cause difficulties for further studies when the victim grows up. The people who are suffering from Dyslexia are step aside of the society and most of them are not very social and not open to the society. Therefor the treatment has to be creative and unique in order to get it in to the user. This tool named “The Hope” assembles Dyslexia therapies in a graphical and creative way to present the user to make it more accurate. Key content of this research covers selecting the Dyslexia stage, load the therapies and detect gestures and voice. The end result will be mainly based on Artificial Intelligence, Virtual reality, Image processing and Voice recognition technologies. Whoever suffers from Dyslexia or anyone who is willing to improve their writing, reading and speaking skills can use “The Hope” with a parent or a guardian and can get a clear improvement by following the therapies that the application provides daily. Application will provide an appreciation and a reward system to motivate and encourage the user to use the application daily. Following the therapies daily will improve the user skills. This tool lets users easily recognize their writing, reading and speaking weaknesses and will help to overcome them in a creative and accurate way.

Diabetes is a continuous, lifetime disease that affects the body ability to use the energy found in food. Usually, the body splits down the sugars and carbohydrates you eat into a sugar called glucose. Glucose fuels the cells in the body. But the cells require insulin, a hormone, in the bloodstream to get in the glucose and utilize it for energy. Body doesn't make enough insulin, or it can't use the insulin it produces are the two main reasons to occur diabetes. Since the cells can't take in the glucose, it forms up in the blood. High levels of blood glucose can ultimately create nerve injury to the tissues in the extremities. The damage to nerves is a significant reason to occur foot ulcers. If a diabetic sufferer has foot ulcers, he/she need to manage it. Unless with the time they can drop their sensation in the foot which is known as neuropathy situation, which eventually appears in foot ulcers. Because of this, doctors advise using a diabetic shoe to prevent foot ulcers. These shoes decrease the peak plantar force exerted on the foot, but temperature, humidity and abnormal pressure are not managed, and this can be effective on the infection of wounds. As Diabetes is the main reason for the occurrence of these foot ulcers, maintaining blood glucose level is important. Diabetic patients can manage their blood glucose level by controlling daily calorie consumption and activities. For this self-maintenance of diabetes, patients should reduce their blood glucose level periodically and get notified of its divergence. The concept “Día shoe” proposed is an innovative mobile base plug and play device which can be attached to any sort of diabetic shoe to manage the foot ulcers and prevent them from spoiling, while monitoring temperature, humidity, weight and step count of the patient through a mobile application.

The COVID-19 pandemic has disrupted all wakes of lives in many countries including Sri Lanka, an island nation in the South Asian region. Among severely hit community groups due to COVID-19 have been the persons with visual impairment and blindness, who represent the majority of disabled people. Taking into consideration that the persons with disabilities generally fall into poverty-stricken cluster of the population and Sri Lanka has been passing turbulent times even prior to COVID-19, this paper argues that the people with visual impairment and blindness have been pushed from bad to worse, due to the shocks of COVID-19 strike.

Over the last decade, creating awareness among people has become a common part of the curriculum around the world. To date, researchers have predominately used outcome-based trial designs to understand the efficacy of mindfulness for improving wellness in people. Less research has been directed towards understanding how undergraduates perceive mindfulness experiences. Findings suggest that mindfulness enhances human wellbeing and helps people to develop a greater awareness of their body, mind, and emotions. The main objective of the research was to develop an application, an undergraduate could use to release their stress in tough situations using mindfulness practices. The conducted research project includes VR technologies, Reinforcement learning, Wearable Arduino components together with mindfulness-based stress reduction methods to support the features of the designed application. It may, therefore, provide a key to understanding one of the mechanisms that underlie the observed benefits of mindfulness approaches for mental health and wellbeing. Drawing on a sample of 25 questionnaire-based responses from the users, the generated results indicate the developed algorithm has an accuracy of 96.153%. The conducted research Evidently shows the use of reinforcements learning is a better way of predicting user interests. Implications of these findings are discussed further throughout the study. Moreover, mindfulness stress reduction practices for university undergraduates offer systematic relaxation methods and concrete ways to get rid of recurrent worries, reducing stress and its physical effects.

Survivors of either a hemorrhagic or ischemic stroke tend to acquire aphasia and experience spontaneous recovery during the first six months. Nevertheless, a considerable number of patients sustain aphasia and require speech and language therapy to overcome the difficulties. As a preliminary study, this article aims to distinguish aphasia caused from a temporoparietal lesion. Typically, temporal and parietal lesions cause Wernicke’s aphasia and Anomic aphasia. Differential diagnosis between Anomic and Wernicke’s has become controversial and subjective due to the close resemblance of Wernicke’s to Anomic aphasia when recovering. Hence, this article proposes a clinical diagnosis system that incorporates normal coupling between the acoustic frequencies of speech signals and the language ability of temporoparietal aphasias to delineate classification boundary lines. The proposed inspection system is a hybrid scheme consisting of automated components, such as confrontation naming, repetition, and a manual component, such as comprehension. The study was conducted involving 30 participants clinically diagnosed with temporoparietal aphasias after a stroke and 30 participants who had experienced a stroke without aphasia. The plausibility of accurate classification of Wernicke’s and Anomic aphasia was confirmed using the distinctive acoustic frequency profiles of selected controls. Accuracy of the proposed system and algorithm was confirmed by comparing the obtained diagnosis with the conventional manual diagnosis. Though this preliminary work distinguishes between Anomic and Wernicke’s aphasia, we can claim that the developed algorithm-based inspection model could be a worthwhile solution towards objective classification of other aphasia types.