MIT Prof Calls for AI Experts to Revamp Kumbh Mela
Ramesh Raskar, an MIT associate professor and head of the MIT Media Lab’s Camera Culture research group, has issued a compelling call for AI and ML experts worldwide to participate in the Kumbh Mela project. His message calls for innovators with expertise in AI, machine learning, computer vision, the Internet of Things, robotics, drones, autonomous telecom data, and mobile devices to join the project. This project aims to address the significant logistical challenges of the massive gathering, such as healthcare access, crowd management, sanitation, and transportation. He also highlighted the use of AI to enhance the experience and management of the event. He discussed using AI for crowd management, health monitoring, and improving the overall safety and efficiency of the festival, emphasising the potential of these technologies to transform large-scale gatherings. Register here. AI-first Kumbh Mela Raskar, an Indian-origin computer scientist, began working on projects related to the Kumbh Mela in 2015. His efforts focused on utilising technology to enhance crowd management and safety during the massive religious gathering. Raskar worked with local innovators, students, city officials, civic groups, the police and historians in his hometown of Nashik to draw up a shortlist of key concerns, from a list of multiple issues received through an open crowdsourced platform. His team focused on developing both high-tech and low-tech solutions and these solutions included apps for real-time crowd monitoring, platforms for dynamic data analysis of transportation and accommodation, and systems to connect festival-goers with quality food suppliers. The KumbhaThon Project Back in 2015, the Kumbhathon team held three-month workshops and innovation camps to discuss, test and implement a range of smart solutions to address challenges in the areas of access to healthcare, transportation, food and sanitation, housing and crowd control. Kumbathan, a one of its kind innovation, is headed by Sunil Khandbahale, a Nashik-based innovator who joined hands with Raskar to use technology in effectively micro-managing this mega-religious congregation. With at least 39 people killed in a stampede back in 2003, they developed apps, designed specifically for this event, aimed to effectively curb the problems faced by attendees.  This app manages crowds and avoids stampedes – a regular problem at the festival. Modelled on the lines of the world’s largest community-based real time traffic and navigation app, Waze, the app used mobile phone location data to help local police redirect pedestrians away from saturated areas. Known for his pioneering work in computational photography and AI-driven healthcare technologies, Raskar emphasises the power of innovation to drive positive change in an increasingly interconnected world.
Led by MIT professor Ramesh Raskar, this project aims to address the significant logistical challenges of the massive gathering, such as healthcare access, crowd management, sanitation, and transportation.
Led by MIT professor Ramesh Raskar, this project aims to address the significant logistical challenges of the massive gathering, such as healthcare access, crowd management, sanitation, and transportation.
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["AI", "machine learning", "ML", "computer vision", "Aim", "R", "Go", "GAN", "AI-first", "innovation"]
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