Mjrovai

Marcelo Rovai's repositories

OpenCV-Face-Recognition

Real-time face recognition project with OpenCV and Python

Language:Python1154 58 28

Seeed Studio XIAO ESP32S3 Sense integrates a camera sensor, digital microphone, and SD card support. Combining embedded ML computing power and photography capability, this development board is a great tool to get started with TinyML (intelligent voice and vision AI).

Language:Jupyter NotebookApache-2.0137 8 10

UNIFEI-IESTI01-TinyML-2022.1

Course Repository - TinyML - Machine Learning for Embedding Devices

Language:Jupyter NotebookGPL-3.064 10

UNIFEI-IESTI01-TinyML-2023.1

TinyML - Machine Learning for Embedding Devices

Language:Jupyter NotebookGPL-3.03600

ESP32-TinyML

Exploring TinyML with ESP32 MCUs.

Language:CGPL-3.035 20

UNIFEI-IESTI01-T01-2021.1

Course Repository - TinyML - Machine Learning for Embedding Devices

Language:Jupyter NotebookMIT27 30

TinyML4D

Community of researchers and practitioners focused on both improving access to TinyML education and enabling innovative solutions for the unique challenges faced by Developing Countries.

Language:Jupyter NotebookGPL-3.017 20

Bee-Counting

BuzzTech: Machine Learning at the Edge: Deploying YOLOv8 on Raspberry Pi Zero 2W for Real-Time Bee Counting at the Hive Entrance

Language:Jupyter NotebookGPL-3.014 1 2

UNIFEI-IESTI01-TinyML-2021.2

Language:Jupyter Notebook14 50

Seeed-XIAO-BLE-Sense

KWS, Anomaly Detection & Motion Classification and Micropython - Exploring the Seeed XIAO BLE Sense.

Language:C++GPL-3.01100

WALC_2022-Applied_AI

WALC 2022 - Panama - Track 7 – Inteligencia Artificial Aplicada

Apache-2.07 20

XIAO_Big_Power_Small_Board-ebook

Mastering Arduino and TinyML

Language:TeXGPL-3.05 1 1

Edge-Computer-Vision

Computer Vision at the Edge

Language:Jupyter NotebookApache-2.04 10

Tiny-LSTM-Weather-Station

This project uses historical weather data of a specific location (Lo Barnechea, Chile) to train a model to predict its future temperature. The trained LSTM (Long Short-Term Memory) model will be converted with TensorFlow Lite- Micro to be deployed on a microcontroller. The prediction will be tested using an XIAO ESP32S3.

Language:Jupyter NotebookGPL-3.04 10