International Journal of Research in Engineering and Science (IJRES) ISSN (Online): 2320-9364, ISSN (Print): 2320-9356 www.ijres.org Volume 2 Issue 4 ǁ April. 2014 ǁ PP.14-20 www.ijres.org 14 | Page Plug In Generator To Produce Variant Outputs For Unique Data. V Prasad 1 , Routhu Siva Kumar 2 , M Mamatha 3 , Ch Jagadeesh Kumar 4 1 (Associate Professor, Department of Computer Science & Engineering, Raghu Institute of Technology, India.) 2,3,4 (Final B.Tech , Department of Computer Science & Engineering, Raghu Institute of Technology, India.) ABSTRACT : Our modern world comprising of abundant chronic diseases which are affecting humankind, awful thing is that they affect the people without being notified until the end. In this project we proposed a system in which the user identifies the disease by providing the symptoms which he is experiencing. The user selects the multiple symptoms which he/she is suffering and submits them for evaluation using String Matching System. The database consists of limited number of diseases, with well organized pattern structure of symptoms. Using a friendly interface, user can input the data in the questionnaire form developed. Artificial Bee Colony Optimization [ABC] algorithm, i.e., a Machine Learning algorithm embedded in the project provides an optimistic disease along with its prevention and curing methods, but before ABC produces optimistic disease, String Matching System approach gives an accurate disease with which the human is suffering from. The above said data transformed into web can be considered as an offline browsing system which can be used by any educated personalities, to generally know what is happening and gets enough idea before visiting the practitioner. Keywords - Artificial Bee Colony Optimization, ASP.NET, MSAccess, optimistic results, Plug in, Prevention and Curing measures, String Matching System. I. INTRODUCTION The present system is a stream that needs a lot of technological development mainly in Expert Advisory System 1 , it is an offline browsing mechanism which is being operated by human experts where there is lot of trouble and setback. This activity is spread all over Country and in spite of suffering with disease patient is unaware of it for a long time. Educated personals can use this website to know the disease which they are suffering by entering the symptoms. The Doctors also can use the web site to access the expert information stored in the web portal for upgrading their skills. The other stake holders in Human Health such as Hospitals may also be the indirect beneficiaries for the system as their Services will be consumed in a larger way, because of their advertisements in the portal. Therefore all the stake holders connected with Health Science will be benefited with this web portal to increase their productivity and profitability. The information system developed in this project consists about the modules like Human Health Issues, Human Disease & Surveillance Program. The system is maintained with both String Matching 2 and Machine learning algorithm 3 techniques in order to provide a closest disease, what happens is, if the user entered the disease symptoms 4 in the input form given by the expert, it displays the actual disease (String Matching) with which the patient is suffering with , or else it show the content saying that the knowledge is insufficient , for this purpose we implemented a technique Artificial Bee Colony Optimization 5 (ABC) i.e., an Optimization algorithm which will calculate the probability of occurrence of the disease. II. DOMAIN ANALYSIS 1. Introduction The domain is „Plug-in generator to produce variant outputs for unique data entry‟ for disease suffering people, doctors, experts & scientists. The main aim of this is to develop a system that which takes the disease symptoms as inputs and producing optimistic results if exact disease is not found in the database. 2. Glossary Randomization It is a process of generating the rules and give answers to the questions asked by the user depends on the forward chaining mechanism. 3. General Knowledge about the Domain This system will enhance the human life where there is lack of expert doctors, it also provide immediate outputs with the best optimistic values paired up with curing methodologies. They also create awareness among the educated people about the disease and also help them in preventing the disease occurrence by providing the prevention methods. 4. Customers and Users In this domain everyone have clearly defined role. 5. The Environment It is developed using ASP.NET, C#, HTML, CSS and MSAccess.