esp32 smart speaker
Budget: $750 – $1,000 USD
Seeking a proficient freelancer to collaborate on the development of a digital assistant using an ESP32 microcontroller. The digital assistant will perform a range of tasks while a button is pressed, providing a versatile and interactive user experience.
Functionalities:
Audio Recording: Enable the ESP32 to record audio from a connected microphone while a button is pressed.
Speech-to-Text (STT): Implement the capability to send the recorded audio file to Google's Speech-to-Text service and receive the transcribed text as a response.
Natural Language Processing (NLP): Incorporate the ability to send the transcribed text, along with a personality header and history, to an NLP model like GPT-3 (ChatGPT) and obtain a coherent and context-aware response.
Text-to-Speech (TTS): Facilitate the transfer of NLP-generated text to AWS's Text-to-Speech service, receiving an audio file in return.
Audio Playback: Develop the ESP32 to play the received audio file through an appropriate audio output mechanism.
Feedback LEDs: Implement neopixels to provide visual feedback at various stages of the process, enhancing user interaction and conveying the current status or progress effectively.
User-Friendly Wi-Fi Connectivity: Ensure that the ESP32 has a straightforward and user-friendly method for customers to connect it to their home Wi-Fi network. This is essential for enabling internet access for STT, NLP, and TTS services without requiring complex setup.
Deliverables:
Fully Functional Code: Provide comprehensive and well-documented code for the ESP32 that effectively realizes all the mentioned functionalities.
Clear Documentation: Deliver clear documentation explaining the code's usage, configuration, and customization options.
Wiring Diagram: Include a wiring diagram detailing the connections for components such as the microphone, audio output (amp/speaker), and neopixels to ensure easy setup and integration.
Instructions: Provide step-by-step instructions on how to assemble and configure the digital assistant, ensuring that users can readily replicate the setup.
Functionalities:
Audio Recording: Enable the ESP32 to record audio from a connected microphone while a button is pressed.
Speech-to-Text (STT): Implement the capability to send the recorded audio file to Google's Speech-to-Text service and receive the transcribed text as a response.
Natural Language Processing (NLP): Incorporate the ability to send the transcribed text, along with a personality header and history, to an NLP model like GPT-3 (ChatGPT) and obtain a coherent and context-aware response.
Text-to-Speech (TTS): Facilitate the transfer of NLP-generated text to AWS's Text-to-Speech service, receiving an audio file in return.
Audio Playback: Develop the ESP32 to play the received audio file through an appropriate audio output mechanism.
Feedback LEDs: Implement neopixels to provide visual feedback at various stages of the process, enhancing user interaction and conveying the current status or progress effectively.
User-Friendly Wi-Fi Connectivity: Ensure that the ESP32 has a straightforward and user-friendly method for customers to connect it to their home Wi-Fi network. This is essential for enabling internet access for STT, NLP, and TTS services without requiring complex setup.
Deliverables:
Fully Functional Code: Provide comprehensive and well-documented code for the ESP32 that effectively realizes all the mentioned functionalities.
Clear Documentation: Deliver clear documentation explaining the code's usage, configuration, and customization options.
Wiring Diagram: Include a wiring diagram detailing the connections for components such as the microphone, audio output (amp/speaker), and neopixels to ensure easy setup and integration.
Instructions: Provide step-by-step instructions on how to assemble and configure the digital assistant, ensuring that users can readily replicate the setup.