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MachineHack announces Sustainability Hackathon with Genpact & Google For Developers: Win Prizes & More

MachineHack has teamed up with Genpact & Google for Developers for their upcoming Sustainability Hackathon | Let's crack the climate resilience code! Sign up now!

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MachineHack announces Sustainability Hackathon with Genpact & Google For Developers: Win Prizes & More

Illustration by MachineHack announces Sustainability Hackathon with Genpact & Google For Developers: Win Prizes & More

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Genpact, in collaboration with Google for Developers, has launched a global hackathon focused on sustainability and leveraging AI/ML technology to model the impact of climate change and make a meaningful contribution to sustainability. 

The hackathon combines Genpact’s longstanding commitment to sustainability, deep expertise in cutting-edge ML techniques, and strategic partnership with Google Cloud to bring data scientists together from across the world to use technology for the good of our planet.

About the Hackathon 

Given the disruption of production conditions and the rising variability in yield caused by climate change, we firmly believe that technology will play a vital role in providing essential insights to stay ahead of the curve. By proactively anticipating the influence of climate change on commodity yields, we can gain a deeper understanding of its effects on raw material prices, thereby ensuring sustainability and mitigating risks throughout the supply chains. Utilizing these models enables us to optimize procurement processes and implement effective pricing strategies for different commodities.

To address these challenges, the hackathon requires participants to focus on developing ML models that can forecast the effects of climate change on commodity prices.

Registrations open from 2nd Jun 2023

Challenge live from 9th Jun 2023

Challenge ends on 21st July 2023

Register Now

Participants Journey: 

• Register for the Hackathon “Genpact – Google Sustainability Hackathon”  

• Participate in the Hackathon and join the competition.  

• *Apply for the $300 credits redemption on Google Cloud Vertex AI platform.

•Attend the 2nd-week workshop session to learn how to use Vertex AI for the competition.  

•Engage in the 4th-week workshop session for a deep dive into problem-solving techniques.  

•The leaderboard will be frozen on 21st July, marking the end of the competition. 

** (workshop dates will be revealed to the participants) 

Note:

– Submissions at the end of the hackathon will be evaluated on 21st July and winners will be announced on 14 August, 2023. 

– In addition, all participants can apply for a trial account to redeem USD 300 in credits on the Google Cloud Vertex AI platform.

Prize Details:

1st prize: 

• Google Pixel 7 Pro (Obsidian, 128 GB) (12 GB RAM)  

• Google Nest Cam Outdoor or Indoor, Battery – 2nd Generation – 1 Pack  

2nd prize:  

• Google Pixel 7 5G (Snow, 8GB Ram 128GB Storage)  

• Google Nest Pixel Buds A-Series – In-Ear Wireless Earbuds – Headphones with Bluetooth with  Mic – Dark Olive  

3rd prize:  

• Google Pixel 6 Pro (Sorta Sunny, 12GB RAM, 128GB Storage) 

** Additionally, there are more prizes and goodies to be won throughout the hackathon. The challenges will be live every two weeks.

Registrations open from 2nd Jun 2023

Challenge live from 9th Jun 2023

Challenge ends on 21st July 2023

Register Now

Things to keep in mind:

– Just one account per participant will be allowed in the hackathon.

– Submissions from multiple accounts will be disqualified. 

– Sharing code privately between participants is also disallowed but participants can share code openly with everyone on MachineHack forums. 

For more details on the prerequisites and evaluation criteria, please visit The MachineHack platform.

Hurry up before registrations close!

Click here to register

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Picture of Poulomi Chatterjee

Poulomi Chatterjee

Poulomi is a Technology Journalist with Analytics India Magazine. Her fascination with tech and eagerness to dive into new areas led her to the dynamic world of AI and data analytics.
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