Value Proposition:

The app is designed to reduce uncertainty in the use of campus spaces at Universidad de los Andes by providing students with structured, data driven information about classroom availability during gaps between classes. Through the analysis of institutional scheduling data, complemented by contextual signals and route guidance, the application supports more efficient decision making regarding where to study, collaborate, or rest. By minimizing time lost in searching for available rooms and reducing congestion in highly demanded areas, the system contributes to improved productivity, lower stress levels, and a more balanced distribution of students across existing campus infrastructure.

How do the smart features help me to generate value?

Smart suggestions based on use: According to the most used/booked/favorited rooms a user has the app recomends rooms alike that are more likely to be fit for the user.

Smart suggestions based on schedule: According to an schedule the aplication detects gaps between clases and recomends rooms to use during those gaps.

How do the CAS features help me to generate value

Nearby filter: Using the gps it gets classrooms near the position of the user.

Dark-light mode: Using the light sensor the application switches between light and dark mode to improve the UX.

Mockups