It was really nice, interesting and exciting to meet and work with you at Talent Garden in Milan. Thanks for putting the passion into all you do.
I enjoy seeing and supporting ideas developing and how the parents of these ideas grow with them. After the Hackathon is actually not the end but the start of the next steps. There are projects and prototypes that developed out of initial ideas & visions and they want to be developed further.
Another very inspiring element was that we could connect and collaborate with a parallel Hackathon and the teams working in the Cisco Office Singapore.
Here is a brief insight into projects born in Milan – the descriptions are written by the project leads:
ToThem would like to help guide you when you like to learn something new
Ilaria Vitali (leader), Gianfranco Emanuele Cerasuolo, Marco Messina, Mario Vitale, Yi Zhang
We designed a smart object that can be placed indoor in those contexts where it is easy to find people that are passionate about a topic and want to actively teach and learn from others. This totem can be used to connect people from different backgrounds and with different skills to physically make them share their knowledge. There are different knowledge fields: designing, programming, tinkering and marketing, and we assigned each one a color. The prototype used 2 Raspberry Pi and an arduino, with connected 2 RGB leds, a mockup for a smartphone app was designed.
Black Cat Analytics improves presentations thanks to real (and soon, big) data.
Gleb Sapunenko (leader), Sydney Lukee, Gabriele Costantini
The team created an analogic prototype, based on Arduinos, Raspberry Pi and Spark, which allows to give feedback, informing the speaker in real time when a subject is not clear, without being obtrusive. The speaker can review later the presentation to find which topics were least understood, in order to know which topics to explain better. The target of our project are teachers and speakers that want to improve their presentations and lessons, both in universities, classes and conferences, for a better experience for all.
Edumotion aims to understand student’s feelings, moods and emotions to help solve problems
Giuseppe Agneti (leader), Federico Formenti, Mattia Scalvini, Christian Viscardi
Our prototype can recognize the face of students and understand the moods of the students thanks to a face tracking system, developed in python and running on a Raspberry Pi B+. Three LED’s shows the status: yellow for working machine, green for “good moods” and red for “bad personal situations”. The data collected create a “privacy feedback” visible only to students, which can choose to share their data to ask for help. The data collected is stored on a platform divided into two sections: a personal private area and a global area, where students with similar feedback can meet each other and can organize activities together.
We think that students are humans, not robots! And trying to understand their needs in this way will surely improve the way they will work tomorrow in the society.
Looking forward to continue to evolve with you …
