KIRTI Programme

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KIRTI Programme

Context:

As the Paris Olympics draws near, the Government’s ambitious KIRTI programme is set to receive a fresh boost under the leadership of the Union Minister for Youth Affairs & Sports and Labour & Employment.

The Hon. Minister will inaugurate Phase 2 of the initiative in New Delhi on July 19, 2024.

 

About KIRTI:

  • Khelo India Rising Talent Identification (KIRTI) aims to develop an integrated talent identification architecture based on modern ICT tools and global best practices.
  • It streamlines the process of grassroots talent identification by providing a single platform.
  • The project adopts an athlete-centric approach, ensuring that every step of the talent identification process is broad-based and accessible.
  • Objectives:
    • Identifying sports talent from across the nation.
    • Using sports to combat drug addiction and excessive gadget use among school children aged 9 to 18.

 

KIRTI Programme

 

Nationwide Launch and Goals:

  • To achieve 20 lakh assessments in the FY 2024-25 by onboarding all states and treating districts as units of assessment.
  • To create a pool of talent capable of winning medals at global competitions like the Olympics and Asian Games.

 

KIRTI Phase I

  • Initiated in Chandigarh on March 12, 2024
  • Assessments Conducted: Nearly 51,000 in 28 states and Union Territories.
  • Top States: Maharashtra (9168 assessments) and Haryana (4820 assessments), followed by Assam (4703 assessments).
  • Disciplines Evaluated: 11 including Archery, Athletics, Badminton, Boxing, Football, Hockey, Kabaddi, Kho-Kho, Volleyball, Weightlifting, and Wrestling.
  • Highest Assessments: Athletics (13,804) and Football (13,483).

 

Ambition and Accessibility:

  • Align to become a top 10 sports nation by 2036 and among the top five by 2047.
  • Target to reach every block in the country, connecting with children who aspire to play sports but lack guidance.
  • Registration: Candidates are encouraged through the MyBharat portal.
  • Transparent selection methodology leveraging Information Technology, data analytics, and Artificial Intelligence predicts the sporting potential of aspiring athletes.
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