Sanya Sinha
Gold Microsoft Learn Student Ambassador, Regional Azure-Dev Lead, Published Author
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Sanya is a college sophomore at Birla Institute of Technology, India. She is very interested in the fields of Data Science, AI/ML/DL, and Cloud Computing, and shall be joining the University of Texas at Austin as a UG Research Intern for the summer of 2022. She is a published author and a technical content writer and strongly believes in community culture for overall development. She is a Gold Microsoft Learn Student Ambassador, an Azure Hero, and the Editorial and Review Community Lead for MLSA venture Voice of Code.
Artificial Intelligence in Public Transportation Systems
Artificial Intelligence has revolutionized every aspect of modern living. From healthcare to communication, intelligent systems simplify daily proceedings remarkably. Public transportation systems are the most economical and ecofriendly systems, but they lack popularity in developing countries due to implementation inconsistencies. Here, we shall explore the impactful effects of AI on public transportation to birth intelligent transportation systems. This shall delve into cutting-edge systems like Lane Traffic Control and Automatic Passenger Counters. Integrating AI with transport sytems eases traffic control by providing resilient fleet management/operation systems to fleet managers and real-time information to the passengers to enhance the public transportation experience. Oyster cards in London, Electronic Toll Collection in Florida and TOPIS in Seoul have proved how groundbreaking AI has been in developed countries' public transports. Incorporating Intelligent Transport Systems in developing countries would evolve their traditional public transport systems and incline passengers towards public transport more, thus benefitting the economy, the environment and also themselves.
This session shall take the participants to a zoomed resolution to perceive the importance of intelligent transportation systems in the modern world and the benefits/challenges in implementing them from a non-Euclidean angle. Major systems demonstrating an intersection between AI, transport and communications engineering are to be discussed and technically/practically assessed for implementation purposes. Bus Management Systems, Vehicle enforcement systems and Smart city management systems also provide deeper insights to this power-packed session.
Creating a Malaria Detection Application Using Azure Custom Vision and Integrate it with Power Apps
According to the World Malaria Report, nearly 240 million cases of malaria are being reported annually. This highlights the prevalence of the disease particularly in third-world countries. The need for systematic diagnosis paved the way for the automated diagnosis landscape, wherein slide images infested with parasites were analyzed for the presence of the Plasmodium parasite.
In this session, we deal with using Microsoft's Azure Custom Vision Service for detecting the presence of the parasite in slide images and predicting malarial infestation. We will also learn how to integrate the Custom Vision Application with Power Apps to create a resilient application to accept slide images and predict the likelihood of malarial infestation.
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