METHOD FOR RECOMMENDING MOVIES TO A USER BASED ON REAL-TIME FACIAL EXPRESSION ANALYSIS

Abstract

ABSTRACT A method (100) for recommending movies to a user based on real-time facial expression analysis. Further, the method comprising capturing a real-time image of the user's face using a webcam. Further, the method (100) comprising the steps of processing the captured image to detect facial landmarks and recognize facial expressions using a trained machine learning model. Further, the method (100) comprising the steps of mapping the recognized facial expressions to corresponding emotional states. The emotional states include joy, sadness, anger, surprise, disgust, and fear. Further, the method (100) comprising the steps of accessing a movie database to retrieve a list of movies associated with the recognized emotional state. Further, the method (100) comprising the steps of displaying the retrieved list of movies to the user through a user interface. The displayed movies are tailored to enhance the user's emotional exp

Specification

Description:FIELD OF THE DISCLOSURE
[0001] This invention generally relates to the field of digital healthcare record management and, in particular, to a method for securely managing, sharing, and accessing electronic health records while ensuring compliance with privacy regulations and enhancing patient engagement.
BACKGROUND
[0002] The subject matter discussed in the background section should not be assumed to be prior art merely as a result of its mention in the background section. Similarly, a problem mentioned in the background section or associated with the subject matter of the background section should not be assumed to have been previously recognized in the prior art. The subject matter in the background section merely represents different approaches, which in and of themselves may also correspond to implementations of the claimed technology.
[0003] The management of healthcare records has evolved significantly with the advent of digital technology. Traditionally, patient records were maintained in paper form , Claims:1. A method (100) for recommending movies to a user based on real-time facial expression analysis, the method comprising the steps of:
capturing a real-time image of the user's face using a webcam;
processing the captured image to detect facial landmarks and recognize facial expressions using a trained machine learning model;
mapping the recognized facial expressions to corresponding emotional states, wherein the emotional states include joy, sadness, anger, surprise, disgust, and fear;
accessing a movie database to retrieve a list of movies associated with the recognized emotional state; and
displaying the retrieved list of movies to the user through a user interface, wherein the displayed movies are tailored to enhance the user's emotional experience based on their current mood.

2. The method (100) as claimed in claim 1, wherein the recognized emotional states are further used to filter movie recommendations based on genre preferences aligned with the user's historical viewing habits.

Documents