Hack2Innovate Gurugram - India's Biggest Hackathon on ML & Deeptech Learning

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


Rewards & Recognition:

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

Date of the event - 18-19, November, 2017

Gurugram City Venue - Pricewaterhouse Coopers, Building 10, Tower C, DLF Cyber City, Gurugram, Haryana 122002

For more information and registration: https://beta.skillenza.com/challenge/hackgurgaon


Location

Pricewaterhousecoopers Private Limited
GurugramIndia

Dates

From 18th November 2017 - 08:00 AM
to 19th November 2017 - 11:00 AM

Prizes

Prize Pool - Prize Pool: 10 Lakhs INR