The tool would use information from the API to determine what margins exist, if the item is trading at historic highs or lows, at what volume items are trading at and divided amongst how many orders. Account for players skill levels and standing to determine what fees a transaction will accrue and how this affects profitability. Eventually I would like to implement systems to identify items that are having their value artificially inflated or deflated and perhaps a companion app that would track market orders and give alerts of rapid spikes or dips in prices for items the user is interested in.
A suite of UX and autograding changes to the homework server used at RPI
The objective of this project is to develop a low-cost and easy-to-deploy sensing system for the RPI library. This system will try to solve the problem of finding a open study room. With the current system there is no way of knowing what study rooms are available without running up and down the library and looking in every room. The final part of the project is to create a web application that could display the state of all the study rooms to a screen.