Based in Chapel Hill, we focus on the development of smart traffic lights. By allowing computer vision to assess each intersection, we're able to reduce traffic congestion through optimized signal timings. We then allow each intersection to share this data with one another, creating a grid of smart intersections with optimized routes for our drivers.
Magnolia optimizes traffic flow through the use of our specialized cameras real-time data. We aim to make downtown congestion a thing of the past, so that everyone in town can get where they need to be.
Milan Dutta is a rising sophomore at the University of North Carolina at Chapel Hill. Prior to Magnolia, he competed and won a programming challenge, in which he met with Congressman Joe Wilson, creating an app that helps students with their biology work. He also helped develop a machine learning model that used computer vision to identify diseases within rice crops to help farmers determine their crop safety. Milan has previously created a digital marketing agency, in which he helped multiple realtors earn thousands of dollars, through the utilization of Facebook Advertising. With his experience, he is ready and excited to re-launch Magnolia.
Ian Kruger is a rising sophomore at the University of South Carolina. With prior experience in both operations, from managing pop-up markets for various clubs at his university and conducting business meetings for Magnolia’s previous web development enterprises, and software development through various coding competitions, he is excited to re-launch Magnolia with his co-founder Milan.