MoodSense is a mood based video recommendation engine for smartphones which enables users to directly get relevant and personalized videos from YouTube based on their current mood, interest they like, people they follow and past interaction with the app.
Currently users spend more time in search of the videos they would like than actually watching them. Finally, when users start watching a video, it remains unsure that they will like it or not. But our algorithm "MoodScore" recommends user specific & relevant videos directly without searching for them. This turns user's stay on internet into more fruitful one and save their time. It also connects people through videos by enabling them to watch videos, their friends are watching.
Our customers are people having unarticulated demand, who just want to be entertained by videos that they find interesting. We provides different videos to different users—as well as different videos to the same user in different moods.