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Clasificador de imagenes de bananas, naranjas y limones por medio de algoritmos de aprendizaje K-nn y K-means. Procesado de imágenes con SciKit y OpenCV.

License: GNU General Public License v3.0

Jupyter Notebook 99.13% Python 0.82% Shell 0.04%
python python3 scikit-learn scikit-image scikit knn-classification kmeans-algorithm k-means k-nn opencv

fruit-classifier's Introduction

Hi there, I'm Gonzalo Fernández 👋

I'm a QA Software Engineer at Marvell Technology and have a Mechatronics Engineering degree. My main interests are firmware development for microcontrollers, artificial intelligence, robotics, and control. I love to develop tools that make other life easier. Recently, I took some courses on RTL and digital design for FPGAs, and I hope to learn more about this.

Connect with me

Languages and tools 🛠️

C

Embedded C

Python

MATLAB and Simulink

Linux

Git

Projects I've worked on 📝

  • Self-balancing LQG: Self-balancing robot analysis and LQG optimal controller design with MATLAB Simulink and Simscape Multibody.
  • Robot arm simulator using QT framework
  • Unitlab Robotics AR: Augmented Reality application developed in Unity, for the simulation of manipulators in Peter Corke's toolbox for MATLAB.

One week projects that you may find interesting! ⚡

  • Flutter Parkinson: Simple Flutter Android App to graphic test Parkinson's desease.
  • Currency WPP: Simple Whatsapp bot for currency conversion using Twilio service and ExchangeRate-API.
  • Rule-based system: A expert system based on python Experta to recommend professional career.

Constantly learning 📚

fruit-classifier's People

Contributors

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