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Parent(s): e3dac0c
fixed readme for hf
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README.md
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**Predictive Maintenance / Anomaly Detection System v1.0**
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*Listen to what your engine is telling you—before it breaks.*
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---
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## 📖 Overview
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**Deployed on:** Hugging Face Spaces (Docker)
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**Backend:** Google Cloud Platform (Storage)
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---
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##
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* **Tri-Sonic Calibration:** Trains distinct models for **IDLE**, **SLOW**, and **FAST** RPM states.
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* **Cloud Sync:** Automatically uploads trained models to secure Google Cloud Storage buckets.
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* **Statistical Thresholding:** Uses dynamic safety limits (`Mean + 2σ`) to filter out false positives.
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##
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* **Frontend:** Streamlit
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* **ML Core:** TensorFlow, Librosa (Audio Processing), NumPy
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* **Infrastructure:** Docker, Google Cloud Storage (GCS)
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##
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### Prerequisites
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* Python 3.9+
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* FFmpeg (for audio processing)
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* Google Cloud Service Account Key
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### 1. Local Development
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```bash
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# Clone the repo
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git clone [https://github.com/your-username/piranaware.git](https://github.com/your-username/piranaware.git)
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cd piranaware
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# Create virtual environment
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python -m venv venv
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source venv/bin/activate # On Windows: venv\Scripts\activate
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# Install dependencies
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pip install -r requirements.txt
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#
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---
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title: Piranaware V3
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emoji: 🐠
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colorFrom: blue
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colorTo: yellow
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sdk: docker
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pinned: false
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app_port: 7860
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---
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# PiranaWare: Preventing marine engine breakdown with vibration analysis
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**Predictive Maintenance / Anomaly Detection System v1.0**
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*Listen to what your engine is telling you—before it breaks.*
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## 📖 Overview
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PiranaWare is an AI-powered diagnostic tool designed for marine vessels. It creates a "Digital Twin" of an engine's acoustic signature using Deep Learning (Autoencoders). By comparing current engine sounds against a healthy baseline, it can detect mechanical degradation (bearing wear, valve drift, misfires) weeks before catastrophic failure.
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**Deployed on:** Hugging Face Spaces (Docker)
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**Backend:** Google Cloud Platform (Storage)
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## Key Features
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* **Tri-Sonic Calibration:** Trains distinct models for **IDLE**, **SLOW**, and **FAST** RPM states.
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* **Cloud Sync:** Automatically uploads trained models to secure Google Cloud Storage buckets.
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* **Statistical Thresholding:** Uses dynamic safety limits (`Mean + 2σ`) to filter out false positives.
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---
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## Tech Stack
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* **Frontend:** Streamlit
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* **ML Core:** TensorFlow, Librosa (Audio Processing), NumPy
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* **Infrastructure:** Docker, Google Cloud Storage (GCS)
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---
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## License
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MIT License. Free for educational and testing use.
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## Contact
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**Piranaware Tech**
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* **Email:** founder@piranaware.tech
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* **Status:** MVP (Active Development)
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