Adds, content, suggested to you according to your feelings thanks to the machine learning

Strengths of the ML project

  • Personnal coach for normal web users that targets songs, videos, adds, tutorials that can boost people's morale
  • Offers to firms a very precisely targeted population each time

For more information about apps and emotions have a look to Rana El Kaliouby's Ted talk click here

The ML project

Your computer will target for you adds, songs, videos, news,… that can boost your feelings.

After a bad day, your face seems tired or stressed therefore, your webcam will detect this and so, your computer can target for you as a normal web user, songs that can cheer you up or funny videos or yoga tutorials to help you to feel more relaxed.

If someone is sad, and is doing classical researches on the web, or checking their Instagram or Facebook profil why not proposing them a trip or this beautiful coat that they are watching since few months. They can be more sensitive and readier to crack for purchasing something that they need now to cheer them up. On the other hand, if they are happy why not targeting charity donations.


My project is based on the user’s agreement use of data. But people may agree as we present this project as a way, for them to feel better after a sad or a stressing day.

Generally, targeted adds are useful mainly for firms, now thanks to ML Project, targeted adds help everyone and can even be a good deed.That is in these specific points that my project is different from what we already know.


For who ?

Valuable for the firms: They can target what a client needs at a T moment Valuable for the normal web users:Help them to feel good or even better thanks to personalized suggestions ! Valuable for the charity: Increase their donations received

Figures

8 hours : (average) time spent front of a screen in France for an adult

83% : the amount of French web users that buy on the Internet

87% : of households with Ipads/Tablets/Smarphones