Nowadays, it might seem easy to triangulate geo positions of people or places, but everything changes as soon as walls get into the equation. That was Glazed challenge for this project – obtain physicians accurate positions within the constraints of a hospital, and present their location back to the patients, so they know which room to go.

• Used iBeacons connecting to a native iOS application through Bluetooth to track the location of physicians within the hospital. • Used the software provided by Beacinsight to manipulate the data and create models that would then be fed back to models through TensorFlow. • Built a machine learning model that predicts the location of physicians based on their past movements. • Integrated the machine learning model with the hospital's scheduling system to provide live updates on physicians' availability. • Propose the optimal placement and number of beacons to cover a specific area. • Surveyed a beacon coverage area for use in location determination algorithms. • Used machine learning to improve these location determination algorithms. • Combined business processes with the real-time position of users.