Team 15: Equilo

Inspiration

We were inspired by the countless students who go unheard during group work (as shown in the video), where participation is often dominated by a few voices.

What it does

Equilo is the intelligent tabletop device that tracks participation and identifies speakers, ensuring every student's voice is heard in collaborative learning.

How we built it

We combined voice recognition, camera tracking, and real-time data visualization using a custom-trained ML model, integrating everything into a sleek, interactive hardware prototype.

Challenges we ran into

We struggled with distinguishing overlapping voices and aligning audio-visual data streams accurately in noisy classroom environments, although we were able to enhance our algorithm to work in such environments as well.

What's next for Team 15: Equilo

We truly believe in Equilo’s potential and plan to pilot it in real classrooms, while exploring a Kickstarter launch to bring the product to educators nationwide.

Built With

• cad
• firebase
• flutter
• javascript
• joblib
• librosa
• matplotlib
• ml
• numpy
• onshape
• opencv
• pillow
• python
• raspberry-pi
• scikit-learn
• solidworks