A mental health app that syncs with a soft cuddly interactive robot.
Ladan F, Daniela C, Duaa Z, Taylor C
From the "Half Full" app, users will be able to connect with "Aqua", a soft, interactive cuddly robot, with speech capabilities and recognition. Based on your responses and the mood you are in, "Aqua" will talk to you and give advice, while further linking you to suggestions in the app. We designed "Aqua" to be soft and huggable so that users feel more comfortable to discuss their feelings and help them deal with everyday predicaments.
Mental illnesses and mental health have become huge issues in teenagers and adults alike, so we wanted to create a friend and place for people to openly talk and discuss about their feelings without feeling worried about judgment and ridicule. So, we are giving them "Aqua", who offers a few simple solutions to ease their struggles.
We wished to do this by giving people a friend, such as "Aqua", to be there for them, since we understand that sometimes it is hard to discuss tough emotions with others. With our ideal motto of the glass being half full, we made "Aqua" a cute, positive robot that makes people smile from first glance and can offer some help when they are feeling down or praise when they are at their best.
We encountered many challenges when it came to building our robot, "Aqua". First, our Bluetooth wasn’t connecting to any of our devices for unknown reasons. We also had some difficulty with getting the speech to text for our robot to function correctly as we kept encountering lots of bugs. Lastly, we were on a time constraint, which made everything even more difficult because trying to get all the features we envisioned to come to life was a long process and we couldn’t fit everything that we would’ve liked.
Though we faced a multitude of struggles, we worked hard and overcame them. For the Bluetooth issue, after multiple tutorials for creating the circuit and connecting the Bluetooth to the device, we decided to just get a new Bluetooth and it finally worked out! As for the speech to text function, we used a speech recognition API and found a tutorial that we followed to help us create an effective chat-bot and build an efficient circuit that gave "Aqua" a voice.