Abstract：Accessorganize and communicatethe strategic use of browser plugins in libraries Purpose The present study demonstrates how browser plugins have been adopted by libraries in recent times to empower users in participatory academic and research activitiesThe study aims to present a brief synthesis of the practical use of browser plugins in libraries and their possible future useDesignmethodologyapproach Web-based survey method was applied in the study to search and find browser plugins associated with academic library websites and to explore their area of applicationFindings With the descriptive account of the implementation of plugins in academic librariessupported by numerous examplesthe study presents the pertinence of various approaches as appeared on library websitesResearch limitationsimplications The present investigation is limited to the academic libraries onlyOriginalityvalue The good practices enumerated in the study will improve the understanding of the young library professionals about the practical usage of plugins and the steps to enhance accessibility to pluginsLibrary AutomationUse plugins to provide personalized library user informationsuch as borrowing statusnews and activitiesand new bibliographyConsulting ServiceChat robot pluginsuch as Bizzy Chatbotis used to answer basic library related questionsRetrieval and IndexingPlugins such as Zotero and Mendeley help researchers collectorganize and apply references and citationsInstificational CollectionIt is used to provide strategic research supportincluding research guidelines for browser toolbar plugins and providing online learning and research materialsTheInternet of Things or IoTmentioned in this article is about connecting objects without just a computerIoT depends on the sensor and is related to the collectiontrackingand transmission through wireless connectionswithout human interventionIn some formsIoT can already be used in librariessuch as RFID and smoke detection fire alarms connected to the InternetMachine learningIn the textthe Chrome security plug-in of the XGBOOST based on machine learning model is used to detect malwareand how to use machine learning to understand the users search mode and context intentNLPNatural Language TreatmentChat robot plug-in uses AI and machine learning to understand the context of users and analyze the stored user search mode