Abstract
The volume and diversity of senior projects are expanding each year. It is exceptionally difficult for students and advisers to keep track of each project. They face difficulty to refer to previous projects, extract some useful information and whether the proposed ideas match potential advisers and their research interests. In addition, decision-makers do not have valuable statistics about senior projects, assigned advisers, and areas of interest of senior projects. SaveIT is a web-based application that is proposed for archiving a large number of senior projects of the previous and upcoming years. It uses the power of text mining tools to generate statistics and interesting patterns from senior projects like trends of programming languages, the frequency plot of areas of interest, and the relationship among areas of interest represented in the network graph. SaveIT helps users without prior expertise in textual analysis to find answers to some important questions. Results showed that the text-mining tools were able to identify a considerable number of relevant terms from the texts analyzed, providing concise representations of projects which can support students and advisers.