Movie Recommendation System Based on Emotion Detection

dc.contributor.author	Zainab Urooj, 01-135201-111
dc.contributor.author	Asad Iftikhar, 01-135201-040
dc.date.accessioned	2024-02-27T07:06:57Z
dc.date.available	2024-02-27T07:06:57Z
dc.date.issued	2023
dc.identifier.uri	http://hdl.handle.net/123456789/17017
dc.description	Supervised by Dr. Aleeha Iftikhar	en_US
dc.description.abstract	The “Movie Recommendation System Based on Emotion Detection” is a project aimed at developing a movie recommendation system that uses video analysis to determine the user’s sentiment and recommend movies that match their emotional state. The system leverages machine learning techniques for computer vision and sentiment analysis to provide personalized movie recommendations to its users.	en_US
dc.language.iso	en	en_US
dc.publisher	Computer Sciences	en_US
dc.relation.ispartofseries	BS (IT);P-2232
dc.subject	Movie	en_US
dc.subject	Recommendation System	en_US
dc.subject	Emotion Detection	en_US
dc.title	Movie Recommendation System Based on Emotion Detection	en_US
dc.type	Project Reports	en_US