Portfolio

Intelligent Drone Swarm

Published:

This project develops a coordinated drone swarm system using ESP32 microcontrollers and Bitcraze’s CrazyFlie, employing a hierarchical architecture with a mothership (leader drone) and multiple child drones (followers). The objective is to achieve synchronized and adaptive swarm behaviors for complex tasks such as mapping, patrolling, search-and-rescue, and collaborative exploration.

Predicting Cardiac Wellnes: Using a Multi-Layer Perceptron on ECG Data

Published:

This project explores ECG arrhythmia classification using the MIT-BIH Arrhythmia Database, achieving 98% accuracy through a Multilayer Perceptron classifier. By addressing challenges in signal preprocessing and hardware constraints, I was able to demonstrate the potential of machine learning to automate and enhance cardiac diagnostics.