An Avanced Brain-Computer Interface (BCI) system for real-time EEG-based Cognitive Monitoring. Features ADS1263 precision ADC, μT-Kernel RTOS, Neural Network Classification, Haptic Feedback, and N8N integration for cognitive wellness applications. This project was developed as a part of the TRON PROGRAMMING CONTEST 2025.

Biomedical electronics prototype using STM32F103C8T6, MAX30100/MAX30102 pulse oximetry, LCD1602, I2C/GPIO and Proteus evidence.

A biomedical signal processing engine in Python that simulates dual-wavelength Red/IR PPG optical signals, isolates AC/DC components, and maps empirical R-curves for continuous SpO2 extraction.

A biomedical signal processing pipeline implementing the Pan-Tompkins algorithm in Python for automated QRS-complex peak detection and real-time Heart Rate Variability (HRV) metrics extraction.