1. Project Title: Find New Buddy (FNB) web service Group Number:3 Group Members: Ankur Aggarwal (20009480) Saurebh Raut (27481720) Siddharth Kodwani (32445633)

2. Motivation: ● There are many instances happening around the world wherein people have to start being part of new society and need to interact with new people. ● The social network is an integral part of every individual today and it tends to grow. ● In this project, we are trying to improve the social network developing rate by recommending people of similar interests to users using Middleware and Web technologies. ● we call it “interest” based social networking or FNB (Find New Buddy)

3. System Work Flow:- The clients/customers who desire to use the web-service we provide, need to create an account to avail our service. While account creation the client will fill the login credentials and lot of personal information (some are optional). Further upon the client’s request we use this personal information and help to find people who match their interests.

5. Recommendation-Flow ●Get the user interests that are stored in database and also interest data of other people which acts as the raw data for the clustering algorithm. ●We are using K-means clustering algorithm. ●Initially the value of K is equal to the number of different interest dimensions of which we got information from the user. ●In later part, we plan to change the value of K dynamically based on the user feedback and correlation between different interest options

6. Studied the web-service design in jsp and also data storing in My-SQL DataBase Locally implemented the basic design of the web-service. We have designed login-page, SignUp-page, Personal Details entry page. We have connected this service with the local My-Sql server to store information. We studied the working of the machine learning algorithm and its implementation and have successfully incorporated the algorithms in the web-service to provide refined searches. Currently our top priority goals are to deploy this web-service on amazon EC2 instance so that all people can access this service. Current Progress

7. Thank You..