I Built a Real‑Time System Health Monitor with AI Anomaly Detection
What I built
Platform engineers and software architects need real‑time visibility into system health – CPU, memory, disk, latency – plus intelligent anomaly detection and predictive insights. I built the System Health AI Monitor to solve this exactly.
Key features
- Real‑time simulation of CPU, memory, disk, and latency metrics
- Automatic anomaly detection and live alert logging
- Interactive trends dashboard with Plotly charts
- AI‑powered analysis (Groq Llama 3.1) that provides anomaly detection, recommended actions, and a predicted health score
- Multi‑language support (English, French, Spanish)
- AI voice explanation (edge‑tts) that introduces the software in a natural female voice
- Adjustable refresh rate, auto‑refresh, and manual refresh
- Security badge and end‑to‑end encryption indicator
Tech stack
- Python
- Streamlit
- Groq Llama 3.1 (AI analysis)
- Plotly Express for interactive charts
- edge‑tts for voice generation
- Custom CSS for light blue theme
- Asynchronous TTS generation
Live demo
https://system-health-ai-monitor-important-9bemdyosmbfmtx4t8wygbv.streamlit.app/
What we do at GlobalInternet.py
We provide tailored software solutions that connect the global market with local expertise. We build custom AI‑powered applications, business tools, and automation systems – delivered fast with full source code.
Contact us
Phone: (509) 4738 5663
Email: deslandes78@gmail.com
Website: https://globalinternetsitepy-abh7v6tnmskxxnuplrdcgk.streamlit.app/
What's next
I am adding real‑data integrations (Prometheus, Datadog, AWS CloudWatch) and proactive AI recommendations based on historical patterns.
Feedback welcome
Try the live demo, adjust the refresh rate, run the AI analysis, and listen to the voice explanation. I would love to hear your suggestions or feature requests. Comment below or reach out via my website.
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