Portable Ai Voice Assistant Using Esp32 Gemini Ai

Add the following snippet to your HTML:<iframe frameborder='0' height='385' scrolling='no' src='https://www.hackster.io/techiesms/portable-ai-voice-assistant-using-esp32-gemini-ai-c79b0f/embed' width='350'></iframe> Ask anything, get answers on the go! Build a portable voice assistant with Gemini AI & ESP32 for seamless, smart voice interactions Ask anything, get answers on the go! Build a portable voice assistant with Gemini AI & ESP32 for seamless, smart voice interactions This project is about creating a compact, low-power, and smart voice assistant that works in real-time using just a single ESP32-S3 microcontroller, a microphone, and a speaker.

It listens to your voice, processes your question through Google’s Gemini AI, and speaks out the answer using Text-to-Speech. It supports general questions, math queries, and even real-time translation – all from your voice. Gemini-Powered Voice Assistant with ESP32 and Microphone Input include libraries and authenticate API key. schematics of Gemini-Powered Voice Assistant with ESP32 and Microphone Input This project demonstrates the integration of an ESP32 microcontroller with a Gemini AI model to create a portable, low-power voice assistant capable of real-time question answering.

The system allows users to interact with the assistant using voice commands, and it provides responses using advanced natural language processing and text-to-speech technologies. By utilizing the Deepgram API for speech-to-text (STT) and providing options for TTS via multiple services, the assistant delivers a seamless user experience in various applications such as smart home control, educational tools, and... Install the required libraries for ESP32 and AI model integration: Refer to the block diagram in the /docs folder for a visual overview of the system architecture. This project is licensed under the MIT License. For any questions, feel free to reach out:

Hurry and get discounts on all Apple devices up to 20% ₹3,658.00 Original price was: ₹3,658.00.₹2,999.00Current price is: ₹2,999.00.(inc. GST) This Portable AI Voice Assistant project is your own Personal AI assistant to which you can ask any questions that you have and it will generate the answer based on AI and speak out... You can ask any questions like, This is tested with Gemini LLM and it is working with really low latency.

This Portable AI Voice Assistant project is your own Personal AI assistant to which you can ask any questions that you have and it will generate the answer based on AI and speak out... You can ask any questions like, Add the following snippet to your HTML:<iframe frameborder='0' height='385' scrolling='no' src='https://www.hackster.io/circuitsmiles/offline-esp32-voice-assistant-gemini-ai-i2s-audio-2a2eaa/embed' width='350'></iframe> This ESP32 project is a token-efficient, Gemini-powered device that provides real-time voice responses from predefined text prompts. This ESP32 project is a token-efficient, Gemini-powered device that provides real-time voice responses from predefined text prompts. In an era of always-listening devices, I wanted to explore an alternative: a voice assistant that is smart, responsive, and completely controlled by the user.

My ESP32 Voice Assistant v0.1 project demonstrates how to build a powerful AI-driven device without the need for an "always-on" microphone. This not only offers a layer of privacy but also allows for deliberate control over API token usage (limited to 25 in server code). This guide will walk you through integrating an ESP32, a Python server utilizing the Gemini API and gTTS, an I2S audio amplifier, and an OLED display into a functional voice assistant. In this two-part series, we're exploring how to build a real-time voice assistant using an ESP32 microcontroller and the power of AI. In this first installment, we'll focus on setting up the hardware and configuring the ESP32 to handle audio input and output. Then, in part two, we'll dive deep into the C++ implementation, exploring buffer handling, speaker output, and integrating with PlatformIO to bring our voice assistant to life.

What was supposed to be a cool 2-day project turned into a 2-week struggle, filled with transistors and WebSocket nightmare. But the result is pretty exciting! Now I can talk with my AI Agent anytime, just by pressing a button. Before we embark on this project, let's address a few important points: This voice assistant seamlessly merges the realms of embedded systems and modern AI, creating a responsive and intuitive user experience. The key components that power this project include:

The complete source code for this project is available on GitHub: ESP32 AI Assistant Repository

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