Update README.md

README.md

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 2021-180 Smart Assistant to ease the process of Covid-19 and Pneumonia disease detection
 
 **Main Objective**
-As a team, we propose a mobile application that assists patients to detect chest
-disease (covid-19, pneumonia) very quickly by just safely staying at home.
-As a solution for taking the risk of meeting the doctor at a hospital during a 
-global pandemic situation, spending extra money for PCR tests, etc.,
+Our main objective is to implement an application to diagnose pneumonia / Covid-19
+in a short period of time and provide health advice and medical recommendations 
+to patients. This application will reduce the cost of PCR testing and will give 
+patients a higher accuracy result through the application. Patients will be 
+asked about their symptoms, health history and counseling according to their 
+severity. 
+We suppose to screen x-rays and identify whether the patient suffering from 
+pneumonia/covid-19. Main objective of screening x-ray images as it is a cheap
+method compared to PCR tests. People must spend lots of money when doing a PCR 
+test. So, one of over main objectives is reduce the cost for medical tests. 
+If a patient considers not only the money, they spend but also the high accuracy
+level, they can go for CT scan screening procedure. With that function we suppose
+to maximize the accuracy level. According to the literature survey that we have 
+done, CT scans gives high accurate results when compared to PCR tests. So, giving
+a high accurate result will be full fill by this option that we have planned to do. 
+Most important objective is after the patient is identified positive for 
+pneumonia or covid-19 he/she should be guided to the medication or advices 
+is a specific objective of this research. To advice the patient correctly we 
+should first have a real understanding about the patient's current health 
+condition and past health history. Otherwise, we cannot predict any advices.
 
 **Main Research questions**
 Covid-19 has become the foremost lung-related disease now a days with the
@@ -25,3 +41,51 @@ lung-related diseases like Pneumonia, covid-19. This research will be focused
 on the possibility of using chest X-Rays to identify Covid-19 and differentiate
 them from other selected lung-related diseases.
 
+**IT18114836 Akalanka B.A**
+The Covid - 19 epidemic has affected millions of people worldwide.
+Today, millions of people have died, and many more are affected every day.
+Due to the testing equipment's deficiency, many people go undiagnosed with 
+COVID-19 in their early stages. In the early stages of this undiagnosed disease,
+when people without physical symptoms encounter normal people, the virus can be 
+transmitted from them to healthy people, and this chain continues. Reverse
+transcription-polymerase chain reaction (RT-PCR) is the current approach to 
+COVID-19 testing. Here the specimens of patients are collected through the nose
+or throat and then sent to laboratories for diagnosis. Therefore, the process of
+Covid-19 detection through PCR testing is time-consuming, and there is a 
+shortage of these kits due to its high demand. Researchers around the world are
+trying hard to seek out alternative ways to detect coronavirus. Radiation 
+devices like X-rays and CT scans were offered as potential alternatives to the 
+identification of COVID-19. CT-scan can be used to detect COVID-19 and is more 
+sensitive to viral diagnosis than PCR
+
+**Objectives**
+
+
+*  To develop a model for image acquisition and enhancement. 
+
+The uploaded image of the chest CT scan will be analyzed and prepared for 
+segmentation. Various filters and tools are used for removing noises, change 
+contrast, brightness and also other properties of the entire image or part of 
+the image 
+
+
+*  To develop a model for image segmentation. 
+
+The image of the chest CT scan will be analyzed and objects in the image will be
+separated. The aim of this objective is to separate the important parts from the
+background of the image. 
+
+
+*  To develop a model for recognizing the Covid-19 infected chest CT scan images using Machine Learning techniques. 
+
+The AI model is developed with machine learning techniques to analyze and 
+identify hidden patterns and relationships between the uploaded image and the 
+trained data set of the AI model. 
+
+
+*  To develop a mobile application. 
+
+The aim of this objective is to develop the mobile application. The mobile 
+application is used for taking photos of a chest CT scan and upload it to the 
+cloud-based AI model for analyzing.
+