Electra Genius
AI | ML | DL | CV | LLMs | AI Agents | Generative AI
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About
Electra Genius works in AI engineering, AI automation & agents and ML & data science, based in Herzberg, Victoria, British Columbia, Canada. AI | ML | DL | CV | LLMs | AI Agents | Generative AI. Public projects on GitHub include Fully-Automated-Egg-Incubator (I developed the Egg Incubator Project using an Arduino to maintain optimal hatching conditions with…), Real-Time-Fabric-Defect-Detection-on-Jetson-Nano (Built a real-time, purely classical computer vision system for fabric defect detection using multi-method…) and Early-Fault-Detection-for-Induction-Motor-Using-ML (An integrated MATLAB–ML system for early fault detection in induction motors), mostly written in C++, SystemVerilog and Jupyter.
Projects 6
- github.com
Fully-Automated-Egg-Incubator
I developed the Egg Incubator Project using an Arduino to maintain optimal hatching conditions with temperature and humidity control, and periodic egg turning. With a 100% hatch rate, this incubator features a DHT11 sensor, stepper motor for egg turning, LCD display for status, and buzzer alerts for critical conditions.
- github.com
Real-Time-Fabric-Defect-Detection-on-Jetson-Nano
Built a real-time, purely classical computer vision system for fabric defect detection using multi-method analysis (GLCM, FFT, Gabor, statistical variance, background subtraction, and edge–Hough), with IoU-based bounding box fusion for robust localization. Deployed and optimized the pipeline on Jetson Nano for real time defect detection.
Early-Fault-Detection-for-Induction-Motor-Using-ML
An integrated MATLAB–ML system for early fault detection in induction motors. Detects six faults broken rotor bars, stator short, ground fault, overloading, eccentricity, and voltage imbalance using KNN and Decision Tree models for accurate, unified, and reliable predictive maintenance.
github.comCrowd-Sourced-AQI-Monitoring-System
An IoT-powered system for real-time air quality monitoring and analysis. This project integrates environmental sensors with a machine learning model to predict and assess air quality indices. Features include data visualization, predictive analytics, and automated alerts for actionable insights.
github.comIoT-Based-Electricity-Theft-Detection
I developed the IoT-Based Electricity Theft Detection system, which uses IoT sensors and real-time analytics to identify and prevent electricity theft. The system features anomaly detection, remote monitoring, and automated alerts for secure energy distribution.
github.com- github.com
Stereo-Depth-Estimation
Stereo Depth Estimation is a computer vision project that extracts depth information from a pair of images captured from two slightly different viewpoints. The goal is to understand how far objects are from the cameras by comparing the differences between the left and right images.