Inspiration Gamma Study was inspired by the need to promote focus and effective study habits. The project leverages brainwave activity to dynamically encourage productivity, aiming to create a tool that helps users maintain concentration while studying or working.
Gamma Study integrates real-time brainwave data with goal-oriented study sessions. It uses an Arduino to measure gamma waves, processes the data through a serial interface, and visualizes it. The system tracks study sessions, offering insights on focus levels and helping users achieve their goals in a structured manner.
The project is built with Python for data processing and visualization. The main.py file implements the study timer and integrates with the serial interface defined in set_serial.py. Data from an Arduino is read via serial communication and processed to filter noise and capture meaningful brainwave patterns. The system visualizes focus levels and tracks progress against user-defined goals.
Configuring the Arduino's serial communication and filtering noisy data were significant challenges. Ensuring reliable data transfer and real-time analysis required optimization of the serial and data processing pipelines.
We successfully built a functional prototype that measures brainwaves and provides actionable insights. Real-time data visualization and goal tracking are standout features of the project.
This project deepened our understanding of signal processing, serial communication, and real-time data visualization.
We plan to integrate machine learning for personalized focus analysis and expand the platform with a mobile app for seamless user interaction.
Log in or sign up for Devpost to join the conversation.