Easy to use DDoS mitigation with real-time traffic analysis, automatic attack pattern detection, IP blocking via iptables/blackhole routing, and Discord alerts. Detects and mitigates network floods, reflection attacks, and protocol abuse.

Modern autonomous drone tracking using YOLOv8 deep learning and PID control for DJI Tello drones with real-time object detection and multi-target tracking.

Python watchdog script that looks for new/remove/move filesystem events on cifs/nfs/others and sends a refresh request to Jellyfin API.

XQRiskCore is a governance-grade risk control engine for trading — with unified trade approval, structured audit logging, role-based access control, and multi-layer enforcement.

Wiredigg is a comprehensive network analysis tool with advanced security features designed for network administrators, security professionals, and IT enthusiasts. It provides real-time packet capture, protocol analysis, anomaly detection, and threat identification capabilities in a modern, user-friendly interface.

Real-time data graphing with data streaming

A professional, modular forex trading bot with advanced risk management, multiple strategies, portfolio mode, and comprehensive backtesting capabilities.

AI Camera: High-Performance Real-Time Object Detection & Tracking

NetMeter Lite offers real-time monitoring of your network speed, CPU, and memory usage in a simple, customizable interface for Windows. Keep track of your device's performance effortlessly with options to personalize the display to suit your style.

PyroScan AI is a GenAI-powered multi-agent system for real-time forest fire prediction across 10 global zones. Designed for researchers and disaster teams, it includes agents for fire detection, weather analysis, and historical data mining. Deployable via CLI or Docker.

An AI-driven auto-scaling solution using Azure Functions and Azure Kubernetes Service (AKS) to dynamically adjust resources based on real-time application performance metrics

CAMCALT (Complex Animal Movement Capture and Live Transmission) is a forest surveillance and monitoring system designed to capture complex animal movements and provide live video feed wirelessly from any part of the world. It aims to prevent hunting and poaching, enhancing forest security.

An AI-powered proctoring tool for secure online exams. Uses YOLOv5 for object detection, MTCNN for face detection, YAMNet for audio detection, and PyQt5 for the UI. Enforces fullscreen mode, disables shortcuts, and provides real-time monitoring with violation tracking. Scalable and resource-efficient.

MCP server for Industrial IoT, SCADA and PLC systems. Unifies MQTT sensors, Modbus devices and industrial equipment into a single AI-orchestrable API. Features real-time monitoring, alarms, time-series storage and actuator control.

The goal of this study is to classify microalgae of different species such as Chlorella vulgaris FSP-E, Chlamydomonas reinhardtii, and Spirulina platensis, using machine learning (ML) and deep learning (DL) methods

Simple KES blends single or multiple schedulers and provides a noise schedule for high-quality images with adaptable detail, real-time config reloading, and parameter randomization for creative flexibility or research purposes.

PyroScan AI is a GenAI-powered multi-agent system for real-time forest fire prediction across 10 global zones. Designed for researchers and disaster teams, it includes agents for fire detection, weather analysis, and historical data mining. Deployable via CLI or Docker.

A comprehensive cybersecurity platform with real-time threat detection, secure JWT auth with refresh tokens, Grafana dashboards, and automated alerts. Features HTTPS encryption, CSRF protection, rate limiting, and account lockouts. Includes a data pipeline and secure credential management for enterprise-grade monitoring.

The GPU Optimizer for ML Models enhances GPU performance for machine learning. It offers advanced scheduling, real-time monitoring, and efficient resource management through a user-friendly web interface and robust API, integrating big data technologies for seamless data processing and model optimization. @NVIDIA

A repo designed to digitalize quality control in battery manufacturing with real-time monitoring and predictive analytics. Quality_APP leverages data from IPQC, FQC, and OQC stages to assess production risks and improve decision-making. Integrated with a Manufacturing Execution System (MES), it enhances inspection processes, predicts reliability