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Former Levi s president, CEO talks strategic vision at Penn Fashion Week event

Former Levi s president, CEO talks strategic vision at Penn Fashion Week event
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The Young Investigator Award won by an Indian Student Saanvi Mehra at EAPS Congress in Barcelona, Spain

New Delhi [India], October 22 (ANI/NewsVoir): Saanvi Mehra, a class XII student from The Shriram Millennium School, Noida has done ground breaking clinical research to identify Down Syndrome in early stages through the AI powered App by using a photograph.

Class 10 student wins Google coding contest with project to identify Down Syndrome kids

Class 10 student wins Google coding contest with project to identify Down Syndrome kids Class 10 student wins Google coding contest with project to identify Down Syndrome kids A class 10 girl recently won the Google India Code to Learn 2020 national contest with her machine learning project to identify children with Down Syndrome. advertisement UPDATED: February 6, 2021 22:43 IST A class 10 girl recently won the Google India Code to Learn 2020 national contest with her machine learning project to identify children with Down Syndrome. HIGHLIGHTS Saanvi Mehra, a class 10 student of The Shri Ram Millenium School in Noida has won the Google India Code to Learn 2020.

Class X student designs Machine Learning project to identify Down Syndrome through photographs

1571 New Delhi, February 6 Fifteen-year-old Saanvi Mehra has designed a project to identify children afflicted with Down Syndrome, a genetic disorder, through their photographs. Designed as part of a project submitted to Google India Code to Learn contest 2020, this tool has the potential of saving more than 20,000 children s lives annually in India alone. This landmark innovation not only secured Saanvi a victory in the contest in the Class IX-X category, but will also be a boon for the children suffering from Down Syndrome.  Saanvi, a student of The Shriram Millennium School, Noida, chose this project as Down Syndrome’s prevalence in India is estimated at roughly one out of every thousand children (1:1000), leading to over 30,000 children being born every year with this genetic disorder. In India, the survival rate is barely 44%.

Class X student designs machine learning project to identify Down Syndrome through photographs

Class X student designs machine learning project to identify Down Syndrome through photographs ANI | Updated: Feb 04, 2021 16:08 IST New Delhi [India], February 4 (ANI/NewsVoir): 15-year-old Saanvi Mehra has designed a project to identify children afflicted with Down Syndrome, a genetic disorder, through their photographs. Designed as part of a project submitted to Google India Code to Learn contest 2020, this tool has the potential of saving more than 20,000 children s lives annually in India alone. This landmark innovation not only secured Saanvi a victory in the contest in the Class 9-10 category, but will also be a boon for the children suffering from Down Syndrome. Further details can be accessed at mehrasaanvi.wordpress.com.

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