AquaAgent 0.1.0

An autonomous and interactive AI agent for intelligent water quality analysis and reporting.

AquaAgent

AquaAgent is an autonomous and interactive AI agent for intelligent analysis and reporting of water quality data.

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🔍 Features

• 📥 Data Import: CSV, Excel, JSON, SQL, MongoDB, APIs
• 🧼 Cleaning & Imputation: Mean, median, KNN, regression, autoencoder
• 📊 Statistical Analysis: Descriptive stats, ANOVA, time series decomposition
• 🤖 ML Models: Classification, regression, clustering, anomaly detection
• 🔁 AutoML: TPOT, AutoSklearn, Optuna optimization
• 🔎 Interpretability: SHAP, LIME
• 📈 Visualization: Heatmaps, PCA, t-SNE, interactive plots
• 🧾 Reports: HTML reports with insights and recommendations

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🚀 Installation

pip install AquaAgent

Or from source:

git clone https://github.com/TyMill/AquaAgent.git
cd AquaAgent
pip install .

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🧠 Usage Example

run-aquaagent odra_data.csv --target chlorophyll --mode autonomous --model autosklearn --impute autoencoder

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📂 Structure

aquaagent/
├── agent.py
├── modules/
│   ├── analyzer.py
│   ├── data_handler.py
│   ├── imputation_engine.py
│   ├── ml_selector.py
│   ├── auto_optimizer.py
│   ├── visualizer.py
│   ├── reporter.py
│   └── model_explainer.py
└── templates/
    ├── classification_template.html
    └── suggestion_template.html

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🤝 Contributing

Contributions are welcome! Please feel free to fork the repo and submit pull requests.

📜 License

MIT License © Tymoteusz Miller, 2025