Suriano Siu, Julio
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Described is a project on the development of the SafeRoad software application; the report provides a reference for future work. This project was completed as a capstone requirement for CS 4624 (Multimedia, Hypertext, and Information Access) at Virginia Tech, guided by the client. SafeRoad is a software application designed to to analyze the NHTSA vehicle complaint database, determine the most common complaints, and predict recalls based on these complaints. The goal of the application is to make our vehicles and roads safer and prevent the loss of life. The software has been developed to be used by data analysts for automotive manufacturers and governing agencies such as the NHTSA. The software can be run either preemptively or in response to a complaint or series of complaints regarding an automobile or one of its components. The results of the program can lead to the issuing of a recall before more serious consequences occur. The project has been developed using Java, database connectivity, and machine learning algorithms. A classifier training set has been created and included with the source code. The final product has proven to predict recalls with an accuracy level that is significantly higher than what was required.