We’re back with news! OK, partial news, but it’s just a matter of days until we all find out the winner of the last hackathon in the series, Spring Race III.
We just wanted to let you know that all the apps you have proposed as a solution to our challenge have been received. As it turned out, the $2000 prize was quite a motivator. 😉
A big THANK YOU to all those who worked hard and strove to design an app that handles picture management according to our requirements
Ready for the last hackathon? We surely hope so. Because this time we have a US $2000 prize that we can’t wait to award! 🙂 That is if you can design a solution that will automatically classify pictures as required below and submit it by next Friday, May 23rd, 24:00.
Before detailing the problem, here’s a short recap for those who are new at this: make sure you read the terms and conditions and follow the steps needed to enter the race. Don’t forget to register your team first using this form.
Managing pictures is a nightmare. Everyone knows how frustrating it is to locate a particular picture in a very large collection. But this is where you could lend a hand. We need you to dramatically simplify the process by building an automatic classification system. The system should be able to read a collection of pictures and classify them, based on the picture information (Exif and the actual picture content).
We’ve evaluated all the apps submitted in the Spring Race II hackathon, but unfortunately none of them solves the problem we proposed. You were supposed to create an app that could identify and score LinkedIn profiles, based on a particular set of provided info. The more the details, the better the match.
Since none of the apps we have received meets the requirements
Time for Spring Race II, a new chance to win another US $1000 prize!
The same terms and conditions apply, so we’ll spare you the how-to-enter-the-race details. What’s even more important than meeting the May 12th, 24:00 deadline is that you submit an original solution, designed and implemented for this competition. This is a mandatory condition to enter the race, so please keep it in mind. And of course, register your team first using this form.
LinkedIn is used by millions of professionals in order to find potential business partners, new customers or talents for recruiting. While technically it is easy to search LinkedIn, even humans have trouble identifying the profiles that better match a set of criteria. For example, people with the longest LinkedIn profiles are not necessarily the best matches.
You must create an app that is able to identify and assign a score to the LinkedIn profiles based on input information. This input must be provided by the user, therefore the app must ask as many details as possible about the desired profile in order to find the best match. The app must mine LinkedIn and present a list of potential candidates ordered by a match score.