STM32

Phaemos: Building a Predictive Maintenance Platform from Firmware to Dashboard

How I am building Phaemos - a full-stack predictive maintenance platform with four hardware nodes (ESP32, STM32 Black Pill, Arduino Nano, Raspberry Pi Pico 2W), 11 sensors, a FastAPI backend, Isolation Forest ML and a live Next.js dashboard.

Embedded

Retargeting `printf` to UART lets you use standard C stdio for debug output on an MCU

Embedded

SPI CPOL and CPHA choose which clock edge data is sampled on: mismatch means garbage

Embedded

PWM duty cycle on a microcontroller comes from the ratio of compare register to period

iot

PHAEMOS - Smart Maintenance Platform

End-to-end IoT and predictive maintenance platform - four hardware nodes, FastAPI backend, Isolation Forest anomaly detection, Next.js live dashboard with alert and ticket workflows, actively being built