Smart India Hackathon 2022 grand finale begins today; PM Modi to address participants

SIH 2022 registration has increased fourfold from around 7,500 in the first edition to around 29,600 in the current fifth edition.

Prime minister Narendra Modi (image: Shutterstock)

Anu Parthiban | August 25, 2022 | 08:22 AM IST

NEW DELHI: Smart India Hackathon 2022 grand finale will be held from today, August 25, to August 29. Prime Minister Narendra Modi will be addressing the participants this year through video conferencing at 8 PM today.

SIH is a nationwide initiative to provide students a platform to solve some of the pressing problems faced in our daily lives, and it aims to inculcate a culture of product innovation and a mindset of problem solving.

Smart India Hackathon 2022, comprising more than 15,000 students will participate in this year’s SIH grand finale at the national level. These teams will travel to the assigned nodal centers and will work on the problem statements during the grand finale of SIH 2022.

Smart India Hackathon 2022 will be conducted in two formats including SIH Software edition and SIH Hardware edition for higher education students. SIH hardware grand finale is scheduled from August 25 to 29 and the software grand finale is scheduled from August 25 to 26.

Also read | IIT Guwahati selected as one of the nodal centre for Smart India Hackathon 2022

Each problem statement has a winning amount of Rs 1 lakh. The winning teams under the student innovation category will receive three prizes of Rs 1 lakh, Rs 75,000, and Rs 50,000.

SIH registration has increased fourfold from around 7,500 in the first edition to around 29,600 in the current fifth edition.

Students from over 2,900 schools and 2,200 higher education institutions will tackle 476 problem statements from across 53 Union ministries in the finale, including optical character recognition (OCR) of temple inscriptions and translations in Devanagari scripts, IoT-enabled risk monitoring system in the cold supply chain for perishable food items, high-resolution 3D model of terrain, and infrastructure and roads conditions in disaster struck areas.

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