The application uses Convolutional Neural Network (CNN) to identify disease symptoms from images of leaves, and is small enough to be run on IoT devices.

Getting stuck in a huge traffic jam is a tragedy, especially if you live in cities like Bengaluru, Mumbai or Delhi. The rising number of vehicles are increasingly adding to this problem, depriving us of our time, money and health. A new research now attempts to reduce traffic pileups in cities by using videos of surveillance cameras. Using Artificial Intelligence and Convolutional Neural Networks, the researcher have built TraCount, a system that can count the number of vehicles in a traffic jam and help authorities manage the congestion in a smart and informed way.