Study of Video Suggestions based on Calendar Events

Present times work life is composed of many digital instruments. Every instrument is becoming smarter but making the calendar into smarter one has attracted little attention. The framework for this study is based on recommending videos based on the preset calendar events. The data that we will save will be analyzed 1) qualitatively, and 2) quantitatively. The qualitative analysis shows that choosing quality data as millions of videos are being uploaded on various platforms, every single second and we need a mechanism that can filter out videos and then can provide the relevant data to the users based on digital calendar. A Calendar is an instrument that is used to store events and by storing the events in the calendar and then using that stored words different recommendations can be made to the user on a timely basis. It can be beneficial in the field of healthcare, education, banks, and in every sector of society. The ability to search and book meetings in the calendars of others can be made advanced and individual can be made strongly connected to the digital tool. This advancement will help everyone in day-to-day life. Here two works must be done first is the event and the other is to filter the content based on the saved events. Various work has been done in the field of video suggestion, but very little work has been done in the field of the calendar. This approach will bring innovation in the field of a calendar and will prove to be a helping hand in suggestions too. For an instance let us assume that a pregnant lady saves in a calendar event, and we can provide recommendation to her to make her more well informed and suggest to her what to do and what not to do, let us take another example as small kids do not remember their exams so we can set an event and can provide him best help in the exams time. This advancement will help everyone in day-to-day life.