Baylee

Let’s revolutionize health care, one emotion at a time.

Comment

Inspiration

Our inspiration is Baymax but the female version. Baymax is a helper robot, who provides assistance to the host or guest within his presence.

What it does

Baylee is a mobile robot that combines emotional intelligence with practical health assistance. Using advanced AI and facial recognition, it detects your emotions and offers tailored support. Feeling sad? It can dispense tissues or even your medication. Stressed? It guides you through breathing exercises. Happy? It celebrates with you by dancing! And for physical health, it provides bandages, disinfecting agents, and even medical advice.

How we built it

We practiced the engineering skills, designed and built an autonomous robot featuring three self-moving cabinets for medicine, tissues, and sanitation. Used LCD and OLED screens, Arduino Unos and Nanos, Raspberry Pi, and gearmotors. Troubleshot sensors, ensuring seamless integration with other components. 3D-printed essential parts, including standoffs, gears, and linear sliders, to improve mechanical functionality. Constructed the robot using foam board, popsicle sticks, tape, and buttons. Split the team into hardware and software groups to optimize workflow and efficiency. The software team implemented LiDAR for navigation and developed an emotion recognition system capable of detecting surprise, anger, happiness, and sadness. They used serial communication to transmit data between hardware and software components. The robot was decorated to resemble a female Baymax and featured a custom-designed logo to enhance its aesthetic appeal.

Challenges we ran into

Our team has unanimously agreed that staying awake and keeping the tension low between the group was a challenge we kept running into. Some big challenges we’re we couldn’t get the motor drive to work so instead we designed a manual solution - pressing buttons to open cabinet doors.

Accomplishments that we're proud of

An accomplishment that we are extremely proud of is to get the real sense cameras sensor working and being able to create a real life prototype of our own design, considering we used a lot of external resources and arts & crafts skills.

What we learned

For many members of the group, it was our first hackathon, we have never experienced an overnight hackathon and the late hours took a toll on our health and mood, creating a lot of tension. Gratefully, we were able to overcome the tensions and continue to work on improving our drivetrain and the linear sliders. Another thing is that we should’ve managed our time better and be better prepared for our own expectations. In terms of technical knowledge, this opportunity gave us some insight on real-life situations. Especially working on the Advanced AI and further developing our teams engineering skills.

What's next for Baylee

As this is the first prototype, our next step is Improving the motor drive, implementing higher power supply, focusing on improving resource efficiency and creating a more sustainable and effective design. Basically making the design more compact, more aesthetically pleasing and have more features.

Built With

Share this project:

Updates