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Just improved my Python Ping Monitor!
It now monitors a host, records its status and latency, and automatically generates a CSV file ready for data analysis.
Simple project, but very useful for troubleshooting network issues and turning raw monitoring data into useful information.
Next step: keep improving the analytics and visualization features.
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This is such a great example of turning complex data into a visual experience. 🎾🔥
Love how the court becomes part of the analytics instead of just sitting in the background. Really impressive work!
When does a sports dashboard need the court to be more than a background?
In this case, we were designing Deuce a tennis analytics platform that needed to make complex match data feel immediate and spatial, not just numerical.
The brief was clear: analysts and coaches don't just...
Polar — Local AI Desktop Assistant
Polar is a local, privacy-focused AI desktop assistant designed around a futuristic HUD interface and system-level interaction.
The project explored how a desktop AI could understand the user's environment, process visual and voice input, and respond or perform actions without relying entirely on cloud services.
Key features:
Local AI assistant architecture
Futuristic Tauri-based desktop HUD
Screen and contextual awareness
OCR-based extraction of text from the screen
Voice interaction pipeline
AI-powered context processing and responses
System-level desktop interaction and automation
Local/offline model execution
Real-time assistant-style interface
OCR pipeline:
Screen capture → OCR → Context extraction → Local AI → Response/Action → HUD
The project combined AI, computer vision, OCR, voice interaction, desktop application development, and modern UI engineering into a single experimental personal-assistant platform.
My contribution: Architecture, application development, AI integration, OCR functionality, UI/HUD development, and system interaction.
This is beautiful
