Commit 47146276 authored by  Rathnayaka R.M.N.A's avatar Rathnayaka R.M.N.A

Update README.md

parent 5748a80b
Pipeline #4378 canceled with stages
......@@ -3,11 +3,12 @@
Intelligent System for Skin Disease Detection of Dogs with Ontology Based Clinical Information Extraction
Main objective
** 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
Main Research questions
** 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.
......@@ -16,7 +17,7 @@ Intelligent System for Skin Disease Detection of Dogs with Ontology Based Clinic
IT19139418 - Rathnayaka R.M.N.A - Skin disease detection based on the texture and color feature
**IT19139418 - Rathnayaka R.M.N.A - Skin disease detection based on the texture and color feature **
Individual research question -
......@@ -33,7 +34,7 @@ Identify the skin disease of domestic dogs through the details & images provided
IT19142692 - Anuththara K.G.S.N - Severity level detection of skin diseases using image processing and behavior analysis
**IT19142692 - Anuththara K.G.S.N - Severity level detection of skin diseases using image processing and behavior analysis**
Individual research question -
......@@ -50,7 +51,7 @@ Identify the severity level of disease based on the user inputs(including images
IT19151052 - Wickramasinghe R.J.P - Ontology-based information extraction from data resources of skin diseases
**IT19151052 - Wickramasinghe R.J.P - Ontology-based information extraction from data resources of skin diseases**
Individual research question -
......@@ -66,7 +67,7 @@ Extract relevant data from unstructured data based on the predicted disease.
IT19143682 - Gimhana P. S - Domain-specific AI chatbot using sentiment analysis
**IT19143682 - Gimhana P. S - Domain-specific AI chatbot using sentiment analysis**
Individual research question -
......
Markdown is supported
0% or
You are about to add 0 people to the discussion. Proceed with caution.
Finish editing this message first!
Please register or to comment