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End-to-end software pipeline for Synthetic Aperture Radar image formation using open-source radar datasets and simulated drone sensor data. Implements signal simulation, matched filtering, FFT-based image formation, speckle filtering, and feature extraction, with real-time deployment on Raspberry Pi.

Create stunning and dynamic radar charts with ease using RadarScope, the versatile open-source JavaScript library built with Chart.js. With customizable scales and multiple datasets support, bring your data to life with dynamic visuals.

A intercomparison of radar adjustment methods, with focus on radar-CML merging, using open datasets

This thesis applies AI and ML with IR-UWB radar for earthquake rescue, achieving 97% accuracy in detecting human motion. It highlights the need for open-access datasets to enhance disaster response.

Real-Time Threat Detection uses AI-powered micro-Doppler radar and Multi-Modal RAG to classify moving targets like humans, vehicles, and drones. It combines radar, visual, and text data, trains smart classifiers on open datasets, and shows results via a Flask dashboard for fast, accurate decisions with reduced false alarms.

Nyx is a Python-based tool designed to automatically evaluate the interpretability of open government datasets (CSV format). It quantifies how clear, consistent, complete, and informative a dataset is, producing both a numerical score and a visual radar chart.