ML 4 PE

Custom-trained YOLOv11 model for industrial fault detection in manufacturing environments.

PCA for multivariate statistical process monitoring.

Electrical diagnostics utility for analysing 230V RMS voltage behaviour and detecting instability patterns.

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C.H.I.L.D. - Comprehensive Harm Interdiction & Lifelong Defense: Biomonitoring for Innocence Protection

Advanced error management library for embedded systems with debouncing, warning escalation, and multi-instance support. Detects recurring problems vs isolated incidents with configurable thresholds.

A ROS 2 multi-node health monitoring system demonstrating real-time state estimation, fault detection, and telemetry logging in autonomous distributed systems. Implements the Sense-Think-Act architecture pattern with full Docker containerization.Built as a learning project

Config files for my GitHub profile.

The Transformer Fault Detection using GSM Module is a real-time monitoring system designed to detect abnormal operating conditions in power distribution transformers. The system continuously monitors key parameters such as temperature, voltage, current, and oil level using sensors interfaced with an Arduino Uno.

ahuDoctor detects hard and soft faults in multiple zone VAV AHU systems

Advanced Methods of Monitoring and Design of Systems

This project focuses on detecting and analyzing wear in drill bits during the drilling process. It involves studying three types of drill wear (flank, chisel, and outer corner wear) along with a healthy drill condition, using four corresponding datasets. The goal is to determine the most effective strategy for identifying drill bit wear.

Open-source framework for detecting Silent Data Corruption (SDC) in production GPU/accelerator clusters

A wrapper for connecting to Ecorithm's API Platform through Python

Fault Detection System Development at eParampara Technologies (Test Repo)

Qt desktop expert system that helps identify a likely faulty car component from observed symptoms.

Student

Code, configuration templates, and documentation for the "Deep Learning Models for Fault Analysis in Power System Protection" paper

Production-ready ML/AI HVAC monitoring system with real-time simulation, fault detection, and session persistence