completed backend model

IT20140984 - PP1/README.md

+# 2023-297
+
+Our group focuses on using machine learning and image processing techniques to identify and track the spread
+of kidney diseases in Sri Lanka. By analyzing medical and patient data, we aim to create a comprehensive
+solution to health care system.
+
+**Main Objective**
+This research is conducted on the topic of Machine learning and image processing approach to identify spread
+of kidney diseases in Sri Lanka.
+
+**Main Research Question**: Despite advancements in medical imaging and diagnostic techniques, there is a need
+for an accurate and efficient method to identify and track the spread of chronic kidney diseases in Sri Lanka.
+How can machine learning and image processing techniques be effectively applied to analyze medical imaging data
+and provide reliable predictions and early detection of kidney diseases across different regions of Sri Lanka 
+and create a web-based system for health care.
+
+**Individual Research Question**
+
+**IT20105198 Weththasinghe A.S.**
+
+* Are you like to know what are the best ayurvedic treatments for kidney patients in Sri Lanka and how to give best
+* accuracy suggestions for the users?
+* How do you personalize your medical treatments in Sri Lanka based on your interests.
+* Do you know good impact for kidney patients increasingly moving to Ayurveda in Sri Lanka?
+
+**IT20140984 Banuka Ishara W.**
+
+* What natural influences should be considered when developing an algorithm to forecast medicine and predict
+  kidney disease?
+* What should be the ethical consideration related to the use of patient data when developing machine learning
+  models for predicting kidney disease?
+* How many medications type should be considered to forecast and if any type is considered, which medication type
+  should be prioritized?
+
+
+**IT20151010 Hansika Kithmin L.Hew**a
+
+* Lack of resources
+* Lack of knowledge about diseases
+* Social barriers Cultural barriers
+* Increasing amount of kidney diseases
+
+**IT20144530 Deshan N.A.S**
+
+* Lack of standardized dietary guidelines
+* Limited dietary adherence
+* Complex dietary restrictions
+* Limited data availability
+*  
\ No newline at end of file

IT20140984 - PP1/drg1.csv

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\ No newline at end of file

IT20140984 - PP1/drgx.csv

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\ No newline at end of file