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Deep-Tech is the most preferred bet of technology, which records a whopping 60% growth opportunity YoY in today’s businesses. New India is on the cusp of a major technological revolution with an unprecedented opportunity to deliver next-gen solutions, carving a new landscape and Man-Machine equation. These opportunities are often created in the areas of enormous impact, such as medicine, agtech, clean tech, advanced manufacturing, big data or AI, and robotics. And they are the businesses and technologies that help create the industries and jobs of our future – on a global stage.

Hack2Innovate is a national hackathon that occurs over 24 hours in each of the 7 cities around the country. Coders, startups, entrepreneurs, researchers, designers, makers, technologists, and everyone - who is enthusiastic about Deep-Tech - will come together to uproot the Deep-Tech innovation by working on the problem statements (challenges) provided by partners. This hackathon, spearheaded by T-Hub along with our partners, helps handpick the best Deep-Tech innovators from each city and showcase them at T-Day - T-Hub’s prestigious annual flagship event bringing together the startup ecosystem enablers such as noted investors, government officials, academia, influencers, mentors, media, and startups.

Areas of Focus:

  • Artificial Intelligence

  • Machine Learning

  • Deep Learning Cognitive

  • Neural Language processing

  • Computer Vision

What’s in it for the participants

Participants will have an amazing opportunity to avail

  • The NVIDIA Deep Learning Institute (DLI) offers hands-on training for developers, data scientists, and researchers looking to solve the world’s most challenging problems with deep learning.

  • Resources - HPC Cloud Infrastructure for participants to test Deep tech Models & Handholding on hackathon

  • Network - An opportunity to engage with Corporates / Investors /Enablers / Govt. during the grand finale at T-Day

  • Virtual Incubation - An opportunity for winning startups to be supported by T- Hub mentorship and programs

Rewards & Recognition:

Prize money worth of up to 10 lakhs INR will be awarded to the finalists all together.

Date of the event - 18-19 November 2017

** City Venue -** Pricewaterhouse Coopers, Building 10, Tower C, DLF Cyber City, Gurugram, Haryana 122002
Google Map Link

Talk to us

Ankur Mehta

+91 9550839911

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No. You do not have to pay anything to register.

We recommend 3 to 5 members in a team

Winners will be announced at the end of the hackathon at the event venue itself.

If you apply, take up a challenge and submit a solution, the intellectual property rights belong to the organizers.

  • Register: Select the challenge you want to work on and submit the idea on how would you like to take it forward

  • Invitation to participate: Selected participants would be given an invite to participate in the hackathon at a physical location

  • 24-Hour Hackathon - Ideate, Develop and Showcase your solution by accessing the right tools and working with like minded folks and pool of mentors to develop the most innovative solutions (a fully functional product - Minimum Viable Product)

  • Grand Finale: Top winners who come up with best solution(s) for each challenge will be felicitated at the T-Day.

Day -1

8:00 AM - Doors open, check-in begins
8:00 AM- 9:30 AM- Breakfast is served
9:30 AM - Event kickoff (Opening Remarks)
9:45 AM - Presentation of agenda/ goals and problem statements
10:00 AM - Deep Learning Run Down with Examples
12:00 PM -12:30 PM- Overview of work process Q&A
12:30 PM - 1:30 PM- Team Formation
1:30 PM - 2:30 PM- Lunch
2:30 PM - 6:00 PM- Hackathon Begins
6:00 PM - 7:00 PM- Refreshments
6:00 PM - 8:00 PM- Hackathon Continues
8:00 PM - 9:00 PM- Dinner time
9:30 PM - 8 AM- Hackathon Continues

DAY -2

8:00 AM - 9:00 AM- Breakfast is served
9:00 AM-12:30 PM - Hackathon Continues
12:30 PM - 1:30 PM- Lunch
1:30 PM - 2:30 PM- Hackathon Continues
2:30 PM- 30 minute warning!
3:00 PM - 4:00 PM- Project demos
4:00 PM - 4:30 PM- Judges confer on their top picks
4:30 PM - 5:00 PM- Prizes awarded, closing statements

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