This project implements a smart headboard system with integrated electronics that can perform face recognition, voice interactions, and control LED lights. It is designed to run on a Raspberry Pi and interfaces with various peripherals and online services.

• Face detection and recognition for user identification.
• Voice synthesis and speech to text for interactive communication.
• Control of addressable LED lights for ambient effects.
• Audio output management for alarms, notifications, and media playback.
• Device communication to interact with smart devices and TVs.
• GUI for system control and status display.

1. Clone this repository to your Raspberry Pi.
2. Install the required dependencies by running pip install -r requirements.txt.
3. Execute main.py to start the application.

After starting the application, the system will be ready to receive voice commands, recognize registered users via the camera, and control LEDs and audio output based on user interactions.

• main.py: The entry point of the application.
• face_recognition.py: Handles face detection and recognition logic.
• voice_synthesis.py: Converts text to speech.
• speech_to_text.py: Converts spoken words to text.
• llm_handler.py: Manages interaction with pre-trained large language models.
• led_controller.py: Controls addressable LED lights.
• audio_output.py: Manages audio playback through speakers.
• device_communication.py: Communicates with other smart devices and TVs.
• chatbot.py: Processes user input and responds to commands.
• gui_handler.py: Manages the graphical user interface.