AI Powered Event Organizer

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AI Powered Event Organizer

Ishwar Sanap, Akash Dangare, Aniket Raskar, Tejas Babar, Prof. M.P. Phadke

Department of Information Technology

PVG’s College of Engineering and Technology & G.K. Pate (Wani) Institute of Management, Pune

Abstract- In the world of fast-paced lifestyles and dynamic technical events, the organization and management of such an event is one of the complex tasks. This project proposes new way in the form of AI- powered event organization and recommendation system which normalizes the task of evet management. This project uses Artificial Intelligence, Machine learning algorithms to recommend the targeted users only for whom we have to recommend the events only. This works by analyzing the uses the previous history of attended events, registered events and also the events which are attended by users with similar interest of the targeted users. It will work the both the content based as well as collaborative filtering for the event recommendation. The project architecture integrates the organization functionalities with the help of finding the targeted uses from the taken interest and also the interest generated due to friends for them according to the system. Through the evaluation process, including user feedback, eighter he likes or dislikes or his friends likes or registered accordingly the events are recommended. In this way the efficiency of the proposed system is enhanced with the help of suitable algorithms for the management of events in this digital era.

Keywords: Artificial Intelligence, recommendation, event management, interests, training.

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