Google bets on artificial intelligence to tackle Floods, Diseases

Image Source: Google

Tech giant Google said it is working with multiple partners to use new age technologies like artificial intelligence  and machine learning (ML) to improve response time to natural disasters like floods as well as addressing healthcare challenges.

Google Technical Project Manager (TensorFlow) Anitha Vijayakumar said the corporate has developed a system that uses AI for early and correct flood warnings, together with guiding over areas that are dangerous and prone to flooding. Google had partnered with India's Ministry of Water Resources on a pilot for flood warning supported based on AI and ML. 

She said the pilot was undertaken in areas prone to flooding and the "initial results are promising".

Vijayakumar said the pilot can be extended to other parts of the country and expressed hope that the system will eventually be "able to give longer lead times to people, helping them seek safety". Floods have wreaked may havoc across states this year, with Kerala being the newest. Hundreds have lost their lives, while thousands have been rendered homeless. More than 7.8 lakh folks are calculating to be in relief camps.

Google, on its half, has launched a series of measures to produce facilitate and assistance in the southern state. It’s has activated SOS alerts on Google search that captured all the emergency resources and response numbers in English and Malayalam.

"We additionally activated Person Finder in English and Malayalam, to assist folks search and track family and friends - on last count; there were 22,000 records in person finder. We have also extended this information on Google Maps to aid the rescue efforts," Rajan Anandan, vice chairman of Google (South East Asia and India), said.

He added that on Google Tez (its payments platform), the company had launched a donation drive towards Kerala Chief Minister relief fund then so much, over 2.7 lakh individuals have contributed USD 1.1 million.

Also, and Googlers is unit contributing over USD One million to support the relief and recovery efforts also. This will prove useful to patients, significantly among underserved populations.