IndexAbstractIntroductionLiterature reviewProposed systemAbstractThe user gets large amount of data whenever he searches for a particular topic on the Internet which is not useful for the user due to the waste of time of the user 'user. This application will provide an optimized result for the search query based on the user's behavior and their previous history. Furthermore, location is a part that will provide notifications of nearby places, along with range filter, as per the customer's needs. Google is the proven most intuitive search engine for Indian users that provides user-oriented results. Also, most other search engines use Google's search model, so we focused on that. So if a page is optimized on Google it is optimized for most search engines. Say no to plagiarism. Get a tailor-made essay on "Why Violent Video Games Shouldn't Be Banned"? Get an Original Essay Keywords - Search Engine Localization; Search engine optimization; White Hat Technique; Dijkstra algorithm; Shortest Path Algorithm IntroductionThere is enormous content on the Internet nowadays which makes it difficult to find relevant information on a topic. Methods for retrieving such information have become particularly important. So search engine becomes an integral part of everyone's life to search for information. We depend on search engines to provide us with the right information at the right time. To meet the user's needs, the search engine must filter and find as much information as possible in parallel with the user's query and should display that information to the user. If the search engine decently critiques the quality and importance of the pages and provides the user with high-quality pages, “search engine bias” will not be a significant problem. But unfortunately, page quality is very difficult to evaluate in real life. Search engines like Yahoo or Google mainly depend on page ranking to measure page quality. A website with a higher page rank value is quite popular for getting a higher ranking in search engine results. Many website promotion techniques are used by website designers. To promote that website in search engine results, the optimizers of that search engine analyze the results and based on that, show the result and provide information what search engine optimization techniques are used by the website. Search engine optimization is the method of optimizing any website so that a search engine ranks your website higher than millions of other competitors in the same niche. It's basically about getting any website to rank higher on popular search engines like Yahoo! and Bing. This process is useful for driving relevant, organic traffic to your website. Apart from optimization, this also provides localization up to a particular range where you can get information about nearby places. For example, if a person searches for an ATM near him, he will get the information of all the ATMs in that nearby area. For this you need a radius as user input which will define the search area. Search engine optimizers use optimization techniques that follow search engine guidelines and are called white hat SEO techniques. Black Hat SEO techniques are used by search engine optimizer for developing web pages that do not follow thesearch engine rules and policies. Search engine localization is a location-based service that provides comprehensive information about geographical regions and different places around the world and is used to get information about your current location and process it to get more relevant information near that location. It will work based on your location and conscious options that favor this system. With the help of A-GPS and GPS system in a phone and through web services using GPRS, HSPA, LTE you can implement them on Android smartphones to provide value-added services. The various services provided by search engine localization are as follows: Traveling from one destination to another navigation services are used and offers directions to drivers, pedestrians and public transport people. The individual route portion for a set of GPS coordinates is provided by the closest road services that share up to 100 GPS points and provides the nearby road portion for each point. The points that are passed should not necessarily be branches of a continuous trace. Search engine location will provide automatic notification of nearby locations as reported by the user's geographic locations. This app is also useful for finding out nearby locations like hotels, petrol, pump, etc. Literature ReviewJoeran Beel in his article proposed the concept of academic search engine optimization to optimize scholarly literature for academic websites. The article covers related work that is mainly done in the territory of search engine optimization for website and defines ASEO and analyzes it for search engine optimization for website. A description of the general ranking algorithms for academic search engines, just like a description of Google Scholar's ranking algorithm. It does not provide details on how the writer or publisher will optimize their websites and archives for academic search engines. It also describes popular websites for scholars as it ranks them in order of popularity. It was basically made only for academic websites mainly useful to scholars. Therefore it has optimized the search engine only on one particular note which is the academic profile. Vinit Kumar Gunjan in his article discussed that search engine optimization is the idea of ​​increasing the impact of a page through common means i.e. the conclusion of an unrewarded search. The website undergoes an evolution to ensure that our keywords interact effectively with different search engines. It is performed by optimizers targeting local search, image and video search. Optimizing a page will modify the content and HTML codes to increase its relevance for distinct keywords and appropriate indexing in search engines. It mainly focuses on ranking a website at the top of search engines by optimizing it using its own method. The search engine will target the searched keyword or the link provided by the user in the search engine. J Bao, Y. Zheng in his paper proposed a system for “Location Based And Preference Aware Recommender” which provides details about nearby places which are nearby with recognition of both user preferences, which are automatically learned by the previous user history and current location. Social opinions, extracted from previous localization stories of local experts. Since a user can only visit a limited number of locations. The main problem arises when people want to travel to new cities and it also becomes quite.