The need for a portable, visible, and low-cost development server to demonstrate edge computing capabilities.
What it does Acts as a local web server displaying live status metrics on an OLED screen while hosting responsive HTML/JS front-end projects.
How we built it Combined a Raspberry Pi 4 with an I2C OLED display inside a compact aluminum enclosure, using Python for system telemetry and a GitHub-hosted repository for version control.
Challenges we ran into Integrating the OLED driver with system processes without causing display flickering or blocking the main event loop.
Accomplishments that we're proud of Successfully implementing a responsive interface that functions flawlessly across desktop and mobile devices via local network access.
What we learned Optimizing I2C bus speeds for screen updates and the importance of thermal management in small, passively cooled enclosures.
What's next for AI Smart Learning Assistant Expanding the Python backend to include real-time IoT sensor data logging and adding automated deployment scripts for faster iteration.
