BreadCrumb

In an internet of things, we wanted to use the interconnected nature of our devices to create a useful and impactful hack. Using the Cisco API, we were able to construct a database that accurately stored location data and information about the wifi network of the user. We were able to use the API to find the location of distinct users over a long period of time to produce what is essentially a heat map of the selected zone. Our program uses data processed from the API using PyMongo and placed into MongoDB. This allowed us to have swift development of the program while still being able to retail functionality. We used a Python API to plot the points through a third party source. This is useful for a variety of enterprises because it has potential in retail analysis, selective marketing, building customer loyalty, and improving sales techniques. The software itself can be expanded as well to include animated data over the course of a day, analytics based on location and time, and other similar useful solutions.

Built With

• cisco
• mongodb
• plotly
• pymongo
• python