AttentionSpanAI

Inspiration

We were inspired to create a meaningful project as the average human attention span has decreased over time resulting in it much harder to focus. Rather than just a tool we want people on

What it does

Our App uses the Muse 2 to detect your brainwaves and feeds that data into a Machine Learning model that detects if you're in one of 4 states

Not Fatigued & Focused
Fatigued & Focused
Fatigued & Not Focused
Not Fatigued & Not Focused ## How we built it We Gathered data to build the model and built a front end to use and display that data in a real time graph ## Challenges we ran into Our Muse2 at the beginning was feeding us very scattered and random data. Trying to collect accurate data was also a major challenge. On top of that the Muse2 had connection issues and we had to constantly reset it.

Accomplishments that we're proud of

We got to connect both the front and backend. Also getting the model to work and showing the data in a real time graph

What We Learned

We learned how to build a full application collaboratively in a team. Careful planning beforehand proved to be very valuable. Additionally, we gained experience in pitching our product effectively. Throughout the process, we realized that clear and consistent communication is essential.