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In this paper author is using machine learning algorithms called SVM and XGBOOST to predict search result of given query and building search engine with machine learning algorithms. To train this algorithm author is using website data and then this data will be converted to numeric vector called TFIDF (term frequency inverse document frequency). TFIDF vector contains average frequency of each words.
In this paper author has implemented following modules
1) Admin module: admin can login to application using username and password as admin and then accept or activate new users registration and then train SVM and XGBOOST algorithm
2) Manager module: manager can login to application by using username and password as Manager and Manager and then upload dataset to application
3) New User Signup: using this module new user can signup with the application
4) User Login: user can login to application and then perform search by giving query.

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