Abstract: An event recommendation system refers to a recommendation system which, in essence, is directed at giving the users items that they may find relevant based on their prior behaviour. There is a great scope for creativity and improvement in the recommendation of events in future. The core, and most important, aim of the system is to facilitate the user by suggesting relevant events based on user preferences. Our project gives a detailed account of the existing techniques used in the recommendation system embracing machine learning deep learning and web development plus NPL. An article whose focus is on engineering a personal event based on a fusion of collaboration and content filtering using nlp recommendation is hereby provided. This system seeks to use the user’s common behaviour, the criteria of the event and data describing the events to offer the best recommendations. Experimental results show that our hybrid approach more effectively applies the methods than applying each separately.

Keywords: Machine learning (pandas and tensor), Natural language processing (nltk), Web development as well as database management.

| DOI: 10.17148/IARJSET.2024.111124