features of the project

Feature 1: Pose and Engagement estimation. 

The tool will possess excellent pose estimation that will detect if someone is within the tool’s sensor

 range. If this is the case then output information relevant to the environment it was deployed in. Based

 on the longevity of user(s) engagement the information outputted will be shared with future users

 again until it attracts less engagement. 

Feature 2: Recommendation. 

Another key part of this system is what it should display based on the individual interacting with it.  For

 example, if it is being deployed in a building housing the computer science department then it will 

display information from the CS forum, upcoming events, coding facts, and other useful information 

along those lines. The tool will continue to match the atmosphere of the environment it is in until 

engagement. Once engaged it will then gauge the interest in what is being displayed based on the

 number of people examining the information and for how long. These factors will determine if the

 information displayed should be displayed at a later time.