Industrial IoT Monitoring

Industrial IoT monitoring system combining OPC UA simulation, LSTM autoencoder anomaly detection, and local LLM explanations for real-time equipment monitoring with natural language insights.

→ be-student-project/be-student-project · listed on pulsemcp

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// key findings

✅

No credential exfiltration, no sensitive file access, no obfuscation

Static analysis found nothing flowing your secrets to unexpected places.

// full audit trail

The full breakdown of what we checked, the deductions that landed, the network hosts, the dependency advisories, and concrete fix guidance is available to verified publishers.

// improvement guidance — verified publishers only

We have 2 concrete improvements we can share with the publisher of this MCP. Each comes with specific guidance to raise the trust score.

// embed badge in your README

[![M8ven Score](https://m8ven.ai/badge/mcp/be-student-project-be-student-project-x67p44)](https://m8ven.ai/mcp/be-student-project-be-student-project-x67p44)

commit: f07e6519cafd3ba1564bc8b50af36d79714d022a

code hash: e9748f582b50a294e49e6d09dcdd3e5d73280fc593bc6b1055064bc50ed7e7e7

verified: 4/18/2026, 3:46:22 PM

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