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SSN-Core: Sensor and Servo Network Core Framework

Overview

The SSN-Core framework provides a robust and flexible foundation for developing applications that involve sensor data processing, natural language understanding (NLU), text-to-speech (TTS) capabilities, and servo control. This framework is designed for developers looking to create complex systems with integrated sensor and servo operations, alongside advanced NLU and TTS functionalities.

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Installation

  1. Clone the repository:

    git clone https://github.com/LoQiseaking69/SSN-core.git
cd SSN-core

  2. Install required dependencies: Ensure you have Python 3.8+ installed. Then, install the necessary Python packages:

    pip install -r requirements.txt

Usage

  1. Configuration: Configure the necessary settings in core_framework.py, nlu_tts_modules.py, and servo_control_module.py as per your application requirements.

  2. Running the application: Execute the main script to start the application:

    python main.py

Files Description

  • core_framework.py: Contains the core functionalities and classes required for initializing and managing the sensor and servo network. This file is the backbone of the framework, ensuring smooth communication between different modules.

  • nlu_tts_modules.py: Includes the modules responsible for natural language understanding and text-to-speech. This file contains methods for processing user input, understanding commands, and generating speech output.

  • servo_control_module.py: Manages the control of servos. It provides functions to initialize servos, send control signals, and manage their states.

  • main.py: The entry point of the application. This file integrates all modules and starts the execution of the framework.

License

This project is licensed under the BSD 3-Clause License. See the LICENSE file for more details.