1. Project Overview: The Wearable Communication Assistant aims to bridge the communication gap for individuals who are deaf or mute. This device utilizes the Sipeed Maixduino AI + IoT Kit to convert sign language into text or speech and vice versa, enabling seamless communication in real time.

2. Objectives:
Sign Language to Text/Speech: Use the onboard camera to capture hand gestures and convert them into readable text or audible speech.
Speech to Text: Capture spoken words through the microphone and display them as text on the screen for those who cannot hear.
Dual-Mode Functionality: Allow users to switch between sign language recognition and speech-to-text conversion based on their needs.
User-Friendly Interface: Ensure the device is easy to use, with clear text display and simple controls.

3. Outcomes:
* Enable individuals who are deaf or mute to communicate effectively with others without the need for interpreters.
*: Provide a tool that empowers users to interact independently in various social and professional settings.

4. Detailed Project Implementation:

Hardware Setup:
Assemble the Sipeed Maixduino AI + IoT Kit with its camera, microphone, display, and other peripherals.
Ensure the device is lightweight and portable, suitable for wearing on the chest or arm.
Software Development:
Sign Language Recognition: Train a neural network model using a dataset of hand gestures. Implement real-time image processing and gesture recognition.
Speech-to-Text Conversion: Integrate a pre-trained speech-to-text model. Capture audio using the microphone and process it in real time.