agentenna

Your task is to develop a real-time awareness system for a smart home environment using the Python package 'agentenna'. This system will monitor various sensors within the home, such as temperature, humidity, and motion detectors, and provide real-time alerts and notifications based on predefined conditions. Additionally, the system should be able to learn from user behavior over time to optimize its alerting mechanism.

### Core Features:
1. **Sensor Integration**: Integrate at least three different types of sensors into your system (e.g., temperature, humidity, motion).
2. **Real-Time Monitoring**: Continuously monitor sensor data in real-time and display it on a simple web interface.
3. **Alert System**: Implement an alert system that triggers notifications when certain thresholds are exceeded (e.g., high temperature, unusual motion detected during non-working hours).
4. **Behavior Learning**: Use machine learning techniques to analyze historical sensor data and adjust alert thresholds dynamically based on learned patterns.
5. **User Interface**: Develop a simple web-based dashboard where users can view current sensor readings and manage alert settings.
6. **Documentation**: Provide comprehensive documentation detailing how to set up and use the system.

### Utilizing 'agentenna':
- Use 'agentenna' to manage the awareness layer of your system. It will help in processing and interpreting sensor data in real-time, enabling your system to react promptly to environmental changes.
- Explore how 'agentenna' can assist in aggregating sensor data and applying filters or transformations before sending it to the monitoring and alerting components.
- Consider leveraging 'agentenna' for implementing the behavior learning feature, potentially by integrating it with machine learning libraries like scikit-learn or TensorFlow.

### Deliverables:
- A fully functional Python application that integrates with at least three different types of sensors.
- Real-time monitoring capabilities displayed through a web interface.
- An alert system capable of sending notifications based on predefined conditions.
- A learning algorithm that adjusts alert thresholds based on historical data.
- Comprehensive documentation covering setup, configuration, and usage of the system.

This project aims to showcase the power of 'agentenna' in building intelligent, adaptive systems that can enhance everyday life.