HuckleR2003/PC_Workman_HCK
Real-time system monitor built in Python, combining live performance analytics, modular architecture, and AI-ready components. Developed as part of the HCK_Labs educational AI-engineering initiative for research and diagnostic experimentation.
What's novel
Real-time system monitor built in Python, combining live performance analytics, modular architecture, and AI-ready components. Developed as part of the HCK_Labs educational AI-engineering initiative for research and diagnostic experimentation.
Code Analysis
8 files read · 3 roundsA Windows system monitoring and AI assistant application that learns your hardware's thermal and voltage baselines per workload, provides offline natural-language Q&A about your PC (127+ intents in Polish/English), manages services/processes for gaming optimization, and checks hardware upgrade compa
Strengths
Genuinely sophisticated statistical engines (SPC voltage analysis with Nelson rules and anomaly decay, Welford's online thermal learning with workload bucketing) that go far beyond typical monitoring tools, combined with an exceptionally well-documented architecture (12 mechanisms with explicit ownership rules) that prevents codebase rot. The hardware compatibility engine handles real-world edge cases like LGA1151 v1/v2 incompatibility and dual-gen socket RAM resolution.
Weaknesses
The codebase is large (485 files) with some duplication (e.g., ui/ and ui/pages/ both contain similar files), and the process classifier is relatively shallow compared to the rest of the system. The ML classifier and response builder (the core of the AI assistant) could not be fully verified due to file access limitations, though the parser architecture and intent system are well-designed.
Score Breakdown
Signal breakdown
Innovation
Craft
Traction
Scope
Evidence
Commits
116
Contributors
1
Files
238
Active weeks
13
Repository
Language
Python
Stars
17
Forks
1
License
MIT