Christopher Mendez / AI Mood Lamp Public

Christopher Mendez / AI Mood Lamp

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About this project

AI Voice controlled lamp with WisBlock

Portada.jpg

Normally, the smart devices in our home are subject to internet availability and third-party services to work correctly, our data is everywhere in the cloud and we experience the effects of latency as our commands are processed and the action required is performed. This project tries to solve this problem by making the most of the microcontrollers we commonly use, implementing a system capable of processing voice commands in real-time, controlling a motor and an addressable LED strip, all locally, without the need for internet, allowing us to control a LED desk lamp by voice, to adjust it to our mood.

Follow the Hackster guide for more details, hardware and demonstrations

Download block output

Title Type Size
MFCC training data NPY file 2216 windows
MFCC training labels NPY file 2216 windows
MFCC testing data NPY file 84 windows
MFCC testing labels NPY file 84 windows
NN Classifier model TensorFlow Lite (float32) 12 KB
NN Classifier model TensorFlow Lite (int8 quantized) 7 KB
NN Classifier model TensorFlow SavedModel 16 KB
NN Classifier model Keras h5 model 11 KB

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Summary

Data collected
29m 50s

Project info

Project ID 129318
Project version 2
License No license attached