Project Hub /Artificial Intelligence & Edge ML/NLP / LLM Hardware Interface/DigiKey Voice-Activated Office Assistant
DigiKey Voice-Activated Office Assistant
Intermediate
MAIXDUINO
Project Specific
3 – 6 Hours
Partial Kit

DigiKey Voice-Activated Office Assistant

Build a voice-activated office assistant using a Maixduino board and Generative AI to answer queries about DigiKey products and services.

Originally published on CircuitDigest
View original tutorial
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Parts You'll Need

This project is sourced from another site, not written by us — this list is our best match of their components against what we stock, not a verified bill of materials. Always check the original blog (linked above) for the actual parts list before buying.

We don't carry yet: Prototype Kit / Sensor Kit / Starter Kit
LCD (generic / unspecified)
Battery (generic / unspecified)
Speaker / Audio Amplifier

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How It Works

Why Build This

Design and deploy an interactive edge-AI hardware interface capable of processing natural language queries.
Gain practical experience integrating embedded microcontrollers with cloud-based large language models and vector databases.
Build a portfolio-ready enterprise information retrieval system tailored for smart workplace environments.

Real-World Application

Smart workplace assistants, interactive product guides, and voice-controlled enterprise information retrieval systems.

Skills You'll Learn

Edge AI deployment
API integration
Retrieval-Augmented Generation (RAG) implementation
microcontroller peripheral interfacing
cloud server configuration

Safety Precautions

No specific precautions noted for this build — always follow general electronics safety practices.

Technology Tags

IOT
GENERATIVE AI
LANGCHAIN
CHROMADB
OPENAI
SWAGGER API
AMAZON EC2
SPEECH RECOGNITION
C++
PYTHON
LCD DISPLAY
WI-FI

Frequently Asked Questions

No, the Maixduino acts as the edge interface for audio capture and display output, while heavy processing like LangChain, ChromaDB, and the OpenAI API calls run on the AWS EC2 backend.
No, the speaker is an optional enhancement; the system can successfully display its responses visually on the Sipeed ST7789 TFT display.
The project uses C++ for the main application running on the Maixduino board, and Python scripts for handling the backend API interactions and AI pipelines.

Gallery

This page is part of Kitkraft's Project Hub — a curated collection of electronics & robotics projects gathered from the maker community to help students and hobbyists discover and learn to build. Kitkraft does not claim authorship of the original project, and makes no representation as to the accuracy, completeness or safety of third-party source material. The summary and "How It Works" explanation above are AI-generated, rewritten with reference to the original tutorial — not a reproduction of it. Full credit and a direct link to the original source are provided above. If you're the original creator and have a concern about how your work is represented here, please contact us and we'll address it promptly.

Kitkraft Project Hub — curated from the maker community, credited at the source.
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