Intelligent Movie Recommendation Platform with AI-Driven Recommendation using Machine Learning with Optimized Power Saving Methods

The movie recommendation system utilises an AI-powered method that improves collaborative filtering by employing the K-Nearest Neighbours (K-NN) algorithm. This system provides personalised movie choices to users based on their interests. The system incorporates IMDB ratings and genre-specific suggestions by using data from several streaming sites including Prime, Netflix, and Hotstar, enabling users to explore a wide range of films. The chatbot of the system facilitates customised interactions by exchanging personalised movie recommendations and notifications that are specifically matched to the user's chosen preferences. This method enhances movie suggestions in real-time, providing prioritised outcomes with little latency, hence enhancing the user's entertainment experience across many platforms. By incorporating real-time feedback capabilities, the system may adjust and enhance the accuracy of its recommendations. This sets the groundwork for future improvements in movie discovery and personalisation.