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  India is a hub for competitive examinations, from JEE and NEET (Entrance Examinations) to UPSC and IBPS SO (Government Positions), the competition is endless. Passing these exams is not easy, it requires a lot of dedication, skills, presence of mind, knowledge and self-confidence. It is difficult to achieve everything in educational institutions where one teacher teaches more than 100 students. This is where artificial intelligence technologies come in. From building your confidence and helping you develop the skills you need, to expanding your knowledge and preparing you to be your best, AI can do it all. Here are 5 ways AI is helping students prepare for competitive exams: Use a chatbot as a teacher One of the major disadvantages of offline learning is that the teacher cannot be near every student. But what about a chatbot that interacts like your teacher and presents questions and videos that are best for you? AI tools help you set the perfect pace One size does not work

World-renowned academics

World famous scientists

Many of the main researchers in our research groups are premium laureates and have an international reputation in their fields.

Professor Tim Bell is the main instigator of computer science disabled, a system of activities for computer learning without computers. Professor Bell is also the winner of the UC Innovation Prize, which honors efforts to have research adopted in society as a whole. He also received Sigcse in 2018 a prize for an outstanding contribution to computer education. His research team is actively to support and evaluate the K-12 curriculum changes around CS education and computing thinking.

Professor Andy Cockern specializes in the interaction of a person with a computer. Professor Koburn is a member of the ACM Toosha Editorial Board, the interaction of the Human-Computer magazine and the foundations and trends in the field of human interaction with the computer. He was the co-chair of documents for the CHI 2014 and 2015. In 2015, it was included in the Chi Academy, which is awarded leaders in this area.

Professor Tanja Mitrovic (as shown in the photo above with Professor Maffat Matthews) is the ICTG leader (smart computer tutoring group). Professor Mitrovic is the former president of international exploration of artificial intelligence in the society of education and the elected President Asia-Pacific Society for Education (2018-2019). It specializes in the methods of artificial intelligence in online learning systems. She developed intelligent training systems that are used throughout the world. Professor Mitrovic is an associated editor of the following journals: IEEE Transactions for training and teaching technologies, artificial intelligence in the field of education and research on education.

Professor Richard Green specializes in the vision of the computer. He is the head of the information vision laboratory. He received almost $ 3 million in financing, the Fund's scientific and technical means for the development of intellectual vision based on the system of trimming and $ 1 million from the smart ideas of investment projects of the Ministry of Business, Innovation and Employment (MBI) Develop Drride Azon capable of autonomous cropping plantations.

Professor Andreas Willig specializes in special wireless networks and sensors,

real-time and industrial wireless networks, whether networks and protocol design and evaluation of efficiency. He leads a research team on the network.

Associate Professor Matias Gallster specializes in software development. Direct the Scientific Research Laboratory and Software Engineering applications. Software Engineering Researchers UC are also members of the Software Innovative New Zealand. Dr. Gallster studies how we can improve the way we develop high quality software. Focusing zones include software technical requirements, software design, software management and decision-making knowledge, variability in software architecture, software engineering equipment, processes and methods and empirical engineering.

Dr. Walter Gutman conducts theoretical group of computer research research. Dr. Gutman examines algebraic calculation models and their use to develop algorithms and probably correct software systems. Objectives should understand axioms that manage computer systems to facilitate reasoning about them and guarantee zero errors.

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