Meet the Revolutionary Ideas at Techsylvania Hackathon 2017
Techsylvania 2017 hackathon projects are close to completion! Almost 100 developers gathered, 16 ideas were transformed into projects, playing with 11 connected devices and chatbots to challenge existing problems. And this is only a tiny fracture of what our Techsylvania hackathon was all about!
All the participants were closely mentored by our coaches, technical experts in software development and marketing, who encouraged our attendees to go beyond their imagination. Among them we mention Pop Ionut, the Software Project Manager of Bosch, Bogdan Suciu the CTO of Yopeso, Cornel Amariei, Head of Innovation at Continental Sibiu, Gelu Vac, Software Manager at Crossover, Sergiu Mircea, Head of Marketing at Banca Transilvania and Bogdan Blaga, Engineering Manager at Macadamian. Together, they made sure the developed projects have the potential to grow into something stunning.
But enough with the introductions. It is time to tell you about the edgy and creative projects that were started at the Student’s Culture Hall. Let’s see:
The first team of the hackathon used Amazon Alexa to design a game of logic, called “Plan your trip” where you can fill a virtual backpack with a number of objects, in order to find out their capacity. “Plan your trip” aims at solving one frequent issue met at Bosch: estimating the product’s amount.
The next team’s project name is “Googly hands”. As probably the name already suggests, they used LeapMotion to train the computer into understanding some signs and to access various apps such as Spotify, a weather app and to compute other commands.
We believe that their project, “WalkiPhone”, is for underground enthusiasts. The team has used Raspberry Pi to build an off-grid radio communication system, used in texting that also sends the last location of the person who used it.
Their project is called “Evidence” and they are using more mobile phones to generate images by using camera flashes. More to be known soon.
“Talkin’ Warren” is the name of their idea and it involves Amazon Alexa and market shares. To be more specific, they have developed a new skill for Alexa to easen the way people manage their shares.
For chemistry enthusiasts and not only, Molecular AR developed an interactive application through Leap Motion which will help you learn chemistry in an informal way.
Their project is called “Tech Pirates” and they used Parrot Jumping Sumo to follow the contour of an image that it detects.
This team came with a solution to the problem all of us have: a chair that tells you when you don’t sit correctly. The project is called “Officer” and it was developed with Arduino. Aside from offering advice, it also offers details about your back condition, history and critical issues.
Game of Life
Have you ever wanted to know where your teammate or opponent is in a multi-player game? Well, now is possible. FAF’s project is called “Game of Life” and it uses beacons to find people while playing.
The project is called Alexa Parrot, and they developed it by using Amazon Alexa and Parrot Jumping Sumo. Basically, they developed a voice skill for Alexa, through which they are controlling the drone.
They developed a social app, using Raspberry Pi, tailored for alcoholics, called “Team struggle”. Whenever a person suffering from this, needs help, an intervention team comes to the rescue.
This project is designed mainly for those who are visually impaired. It uses an ‘Intelligent Digital IoT Stick’ that acts as a remote control and syncs with a mobile app, helping visually impaired people to perceive short distances by sound and vibration. In its development, it was used Arduino, infrared, sonar and time of flight sensors and also plan to build an Android app.
Vision for Visually Impaired
The name is “Vision for Visually Impaired” and in its development they used Microsoft HoloLens and a Tensorflow library, to help the visually impaired to make money and objects transactions. They also used beacons to provide signals to let them know where to pay in a public institution and check money transactions. They included sound sensors as well, to indicate distance from objects & depth, for instance stairs.
Their project is designed to evaluate and react after a vehicle crash to deliver the needed info to the closest emergency service and help the driver until authorities arrive on site. It will be a portable device or integrated in a system, developed with Alexa and Raspberry Pi in a blackbox device.
These are the 16 projects that will “see” the light of the day at this year’s Techsylvania hackathon. Stay tuned & follow our Facebook page to watch the demos in a short while!