@@ -5,4 +5,82 @@ Intelligent System for Skin Disease Detection of Dogs with Ontology Based Clinic
Main objective
Main objective of this research is to identify the skin diseases and the severity level of each disease affected to dogs with maximum accuracy. Additionally, users will be able to get solutions for their conflicts, by directly engaging with the system. Service will be provided timely and accurate answers to the user, instead of consulting professional, while spending a lot of resourses. As the people worrying much when their pets are suffering from skin diseases, we are going to build a mobile application with better user experience based on deep learning, natural language processing and Ontology-based information extraction. Nowadays the majority are busy with their day-to-day activities, therefore this will be a good approach for those people to care for their dogs and treat them as quickly as possibleMain objective of this research is to identify the skin diseases and the severity level of each disease affected to dogs with maximum accuracy. Additionally, users will be able to get solutions for their conflicts, by directly engaging with the system. Service will be provided timely and accurate answers to the user, instead of consulting professional, while spending a lot of resourses. As the people worrying much when their pets are suffering from skin diseases, we are going to build a mobile application with better user experience based on deep learning, natural language processing and Ontology-based information extraction. Nowadays the majority are busy with their day-to-day activities, therefore this will be a good approach for those people to care for their dogs and treat them as quickly as possible
\ No newline at end of file
Main objective of this research is to identify the skin diseases and the severity level of each disease affected to dogs with maximum accuracy. Additionally, users will be able to get solutions for their conflicts, by directly engaging with the system. Service will be provided timely and accurate answers to the user, instead of consulting professional, while spending a lot of resourses. As the people worrying much when their pets are suffering from skin diseases, we are going to build a mobile application with better user experience based on deep learning, natural language processing and Ontology-based information extraction. Nowadays the majority are busy with their day-to-day activities, therefore this will be a good approach for those people to care for their dogs and treat them as quickly as possibleMain objective of this research is to identify the skin diseases and the severity level of each disease affected to dogs with maximum accuracy. Additionally, users will be able to get solutions for their conflicts, by directly engaging with the system. Service will be provided timely and accurate answers to the user, instead of consulting professional, while spending a lot of resourses. As the people worrying much when their pets are suffering from skin diseases, we are going to build a mobile application with better user experience based on deep learning, natural language processing and Ontology-based information extraction. Nowadays the majority are busy with their day-to-day activities, therefore this will be a good approach for those people to care for their dogs and treat them as quickly as possible
Main Research questions
1. Some skin diseases are almost similar in appearance. But the treatments which are done for them differ from each other. Without detecting a disease more accurately may cause dangerous situations.
2. Neglecting a skin disease can be spread to more severe levels. Without identifying the severity level of the disease, it cannot be treated properly. Even for a same disease, it uses different ways of treatments according to the severity level. Without knowing the stage of the disease, some owners may treat their pets home remedies, which will cause more danger.
3. Most of the time even though the disease is known, the owner’s lack of knowledge might cause the further spreading of the skin disease. If the patient did not get cared properly there is a possibility of recurring the same skin disease. As the mentioned in above there is considerable knowledge gap about the skin disease among owners.
4. There is a lack of platforms for dog owners to ask questions and be aware of their pets from expertise. Questions can be differ from each other owners, therefore they might need an answer more than common information.
IT19139418 - Rathnayaka R.M.N.A - Skin disease detection based on the texture and color feature
Individual research question -
How to identify skin disease using image processing ?
How to Enhance the images ?
How to train the module for text base classification ?
How to analyze the detected disease with the differential diagnosis done via text classification?
Individual Objectives -
Identify the skin disease of domestic dogs through the details & images provided by the user.
IT19142692 - Anuththara K.G.S.N - Severity level detection of skin diseases using image processing and behavior analysis
Individual research question -
Why CNN algorithm is best for image classification?
What are the changes of behavior?
How many severity levels?
What is the technology used to classify videos into frames?
Individual Objectives -
Identify the severity level of disease based on the user inputs(including images and videos) regarding their domestic dog's behavior and skin issues.
IT19151052 - Wickramasinghe R.J.P - Ontology-based information extraction from data resources of skin diseases
Individual research question -
How to get accurate information?
How to improve the user satisfaction on information?
How to handle the natural language texts?
How to provide an efficient output to the users?
Individual Objectives -
Extract relevant data from unstructured data based on the predicted disease.
IT19143682 - Gimhana P. S - Domain-specific AI chatbot using sentiment analysis
Individual research question -
How to use sentiment analysis to generate acurate answer?
How to implement the system for answering users' customized questions?
How to train the system to give accurate and reliable answers?
Individual Objectives -
Extract relevant data from unstructured data based on the predicted disease.
