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| Chingari App Photo: Express Computer |
Especially relevant in today’s Covid outbreak, this app provides a safe alternative to touch-based fingerprint attendance systems. The start-up is being incubated at Mahindra e-hub, an incubation centre of Mahindra University under the University’s Centre of Entrepreneurship & Innovation.
“Mahindra University focuses on providing an enabling atmosphere to the students so that they can apply their learning in creating innovative solutions to everyday problems. One such focus has been on Artificial Intelligence and Deep Learning, wherein we have not just created state-of-the-art labs but also made available live projects for students to work on. It is indeed exciting to witness these efforts coming to fruition and our Centre for Entrepreneurship and Innovation is providing a platform for these start-ups to grow and grow on their own by providing all necessary assistance in sync with the Indian Government’s mission”, says Dr. Yajulu Medury, Vice Chancellor, Mahindra University...Chakshu Face Attendance App uses PyTorch (a Powerful Machine Learning Framework by Facebook) to build and deploy Deep learning algorithms. Scaling AI algorithms to thousands of users is a compute intensive process and often results in high latency situations. Chakshu App involves careful model optimizations that makes the backend capable to serve a huge volume of traffic at Peak Performance, ensuring a frictionless User Experience.
