5 Major Cities in Uttar Pradesh To Be Developed As AI Hubs

The Yogi Adityanath-led Uttar Pradesh (UP) government has recently released its plan to develop major cities as Artificial Intelligence (AI) and Information Technology (IT) hubs, reported Business Standard. 

The cities in the state lined up for the AI- and IT-based makeover include Lucknow, Kanpur, Gautam Buddha Nagar (Noida), Varanasi, and Prayagraj (Allahabad).

Recently, the state authorities and police department curb a cheating racket in a government job recruitment exam wherein the state police's Special Task Force had used Bluetooth and Artificial Intelligence to crackdown on the scam and caught the culprits.

Moving back to AI makeover of the cities in the state , a 40-acre land near the Lucknow airport and situated at the Lucknow-Kanpur highway has been identified to lead the AI City landscaping. The Lucknow AI hub project will provide an entire value chain to investors and companies comprising AI-based startups, data centre, data analytics, AI-based training, and data forensics, etc.

Furthermore, the state government has partnered leading entities, such as IIT-Kanpur, IIM Lucknow, and APJ Abdul Kalam Technical University, for a number of knowledge-based initiatives and projects.

The proposed AI and IT sector development in these five cities is aimed at catalysing the journey of UP to become a trillion-dollar economy.

Besides, in a first for India, Uttar Pradesh has also collaborated with AI startup Satqu to deploy its AI-enabled video analytics platform 'Jarvis' in 70 prisons to monitor inmates' body movement and body language.

Gurgaon-based Staqu accessed ~1 million historic violence videos from UP Police on positioning of CCTV cameras to study data which further used build machine learning algorithm within Jarvis, a ready to use platform from Staqu.

The state has also prepared a common beneficiary database of the people eligible for different schemes. This AI-based database will help the Government to target citizens with all the schemes they are suited for and avoid duplication of efforts in the way of approaching separately for different schemes.
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