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GO-JEK Engineering Hosts 24 Hour Hackathon for Women

GO-JEK Engineering Hosts 24 Hour Hackathon for Women

  • Exclusively for women developers and engineers from all levels
  • 128 ideas were generated along the themes of Mobility, Data Engineering, Infrastructure Engineering, amongst others
  • Prizes included a Hyundai i10, Vespa Scooter and iPhone 7

GO-JEK Engineering, one of Southeast Asia’s leading start-ups from Indonesia, today announced the successful completion of its ‘She-Hack’, a women-only, 24 hour Hackathon. ‘She-Hack’ saw participation from over 100 young women, who had travelled from Delhi, Kolkata, Mumbai, Pune, Hyderabad, Chennai, as well as from within Bangalore. These women technologists created solutions around broad themes that included Mobility, Data Engineering, Infrastructure Engineering, amongst others.

128 ideas were submitted for consideration to a panel of judges that comprised senior engineers and executives from GO-JEK India, Singapore and Indonesia. 115 cutting edge ideas were shortlisted by the team of women hackers, ranging from mobile analytics, facial recognition, optimizing data transfer to sentiment analysis and chat bots.

The first prize winner was Jayshree Anand from the Alchemy team, who created ‘App Monitor’ a sentiment analysis tool, which uses data from social media to pinpoint issues that customers are facing and reports back to the GO-JEK team. She won a Hyundai i10 car.

The second prize winner was the Superwoman team, comprised of Divya Choudhary and Abinaya Mahendrian. Using Data Science and Analytics, the team’s solution ‘Insight Pro’, helped analyse which locations and customers brought in the most revenue in order to optimise allocation of resources. They won a Vespa Scooter.

The third prize winner, the Nebula team comprising Sapna Jayavel and Janani Balasubramanian designed a solution with Artificial Intelligence connected to a chat bot. Their solution ‘Where’s the Food?’ that helps people with food ordering in different countries. It uses Artificial Intelligence and Machine Learning to analyse the food menu uploaded by the user by taking a photograph with their camera, and then makes recommendations based on the user’s dietary restrictions, allergies etc. They won an iPhone 7.

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