Y! Hack Hyderabad: 250 hackers, 56 hacks, 24 hours

About 250 developers from 20 states participated in the sixth edition of Yahoo! Hack held recently in Hyderabad.

Interesting facts on Y! Hack Hyderabad 2013:

• 250 hackers in the house built 56 hacks in just 24 hours
• Eight per cent of the hackers at the event were women
• The theme of this year's hack event was around mobile and personalization. Most of the hacks submitted were around geo location, science based apps on sentiment analysis, photo based apps and SMS.
• The hackers downed over 1,500 cups of coffee and tea, and 350 cans of Red Bull - they needed the fuel, since only 5 per cent slept through the night!

Winners of Yahoo! Hack, Hyderabad 2013

Grand prize winner
PlanMan! by Varun Kumar Nagarajan, Arun Kumar Nagarajan, Raghu Ram, Amit Bharti
It is a mobile app which lets you do Workflow Management through SMS and missed calls. It takes inputs from any type of mobile device and is targeted towards a small group or company wanting to schedule their daily tasks.

Most Creative Hack
Bachao! by Mayank Yadav, Abhijit Sinha, Asmita Metrewar, Vikalp Handa
This Android app uses the accelerometer in the Smartphones to track the user's location in event of a car accident and sends an alert to their emergency contacts and the ambulance service.

Best Technical Hack
Train Tracker by Sagar Pandey, Rohan Prinja, Shahid Khan, Ahamed Salim
It is a mobile traveler app that asks for users PNR number to provide them real-time train information on an ongoing journey including next stop, time to reach the destination, train status and weather forecast of the upcoming station.

Best Potential Product
iCity by Yogesh Joshi, Dinesh Salve
An iOS app which gives users basic information about the city they are visiting like weather forecast, public transport, city hospitals, hotels and restaurants, Facebook friends who live in the city all in just one touch!

Hackers choice award (voted by fellow hackers)
AI Finance by Abhimitra Kartikeya Surabhi, Rakesh Tadisetty, Amiit Kumar Tiwari, Sudheesh Singanamalla.
An app that uses Artificial Intelligence to predict the upcoming stock values. It is helpful for those people who are occasional traders and helps them to make the right choices and avoid losses in their investment.