Intelligent Radio Jockey

Abstract

In today's world we all are extremely busy with our lives and have a lot of work to do. Since we don't have time, we are unable to multitask. So, we have provided a platform or an application through which users can listen to the songs of their interests as well as they can be informed about their interest after every two or three songs. In this project, we built an Intelligent Radio Jockey which recommends songs and news based on user’s choice and likings. Users can search a song and select choices for news such as tech, gaming, and entertainment. Based on entered data, the user will be displayed a playlist which contains recommended songs as well as information in such a way that information will be conveyed to the user after 2 more songs. We have used collaborative filtering technique using subset of million songs dataset for songs recommendation. Frontend of our application will be built in React. We have used google news api to fetch news related to user interest.