✨[FEATURE] Home Automation Voice Assistant

[dino65-dev]

🌟 Feature Overview

• Enhanced Natural Language Processing (NLP): Understands commands intuitively, even with varying phrases.
• Context-Aware Commands: Controls multiple devices in a single command.
• Scheduled Actions: Automate your devices on a delay or schedule.
• Real-Time Device State Feedback: Keeps track of each device's state and responds accordingly.
• Easy Device Expansion: Add new devices and actions via a JSON configuration file.
• Voice Feedback: Confirms actions with text-to-speech.

🤔 Why this feature?

These features are vital as they collectively address user needs for convenience, security, adaptability, and engagement in managing their smart homes. By incorporating these elements, the voice assistant not only improves the user experience but also helps create a more efficient and automated living environment.

📋 Expected Behavior

1. Enhanced Natural Language Processing (NLP)

   • Expectation: The assistant should accurately understand and interpret user commands spoken in natural language. How It Should Work:

• Use an NLP library (like spaCy or NLTK) to parse and understand user input.

• Implement machine learning models trained on diverse command phrases to improve understanding.

• Allow for synonyms and variations in command phrasing to accommodate different user speech patterns.

  2. Context-Aware Commands

• Expectation: The assistant should execute multiple related commands based on a single user request. How It Should Work:

• Create a context manager to track the current state of devices and recent commands.

• Allow commands like "Turn off the lights and lock the doors" to be processed together.

• Use intent recognition to determine the context and group commands accordingly.

  3. Scheduled Actions

• Expectation: Users should be able to schedule commands for specific times or after a delay. How It Should Work:

• Integrate a scheduling library (like schedule or APScheduler) to handle timed commands.

• Allow users to specify delays (e.g., "turn off the lights in 10 minutes") or set specific times (e.g., "turn on the heater at 7 PM").

• Provide confirmation of scheduled actions and allow users to cancel or modify them as needed.

  4. Real-Time Device State Feedback

• Expectation: Users should receive immediate feedback on the status of their devices. How It Should Work:

• Implement MQTT or WebSocket protocols to provide real-time updates from devices.

• Allow the assistant to listen for state changes and notify the user (e.g., "The lights are already on").

• Provide status queries (e.g., "What is the status of the AC?") to retrieve current device states.

  5. Easy Device Expansion

• Expectation: Users should be able to easily add or modify devices through a configuration file. How It Should Work:

• Use a JSON configuration file (devices.json) to define devices and their actions.

• Implement a parser that reads this file and updates the system dynamically.

• Allow users to add new devices by following a clear format and restarting the assistant to recognize changes.

  6. Voice Feedback

• Expectation: The assistant should confirm actions with audible responses. How It Should Work:

• Integrate a text-to-speech library (like pyttsx3 or Google Text-to-Speech) to convert text responses into spoken feedback.

• Provide confirmation messages for each command (e.g., "The lights have been turned off").

• Allow customization of voice responses for different actions to enhance user engagement.

🖼️ Example/Mockups

If applicable, add examples or mockups that illustrate how the feature should look or behave.

📝 Additional Details

Add any other details or suggestions.

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