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PaveVibe: A georeferenced device leveraging ESP32, accelerometer, and GPS data to measure and map pavement quality, identifying defects for maintenance and infrastructure improvement.

License: GNU General Public License v3.0

Jupyter Notebook 48.94% C++ 51.06%
accelerometer data-analysis data-filtering data-integration esp32 georeferencing gps infrastructure iot qgis

pavevibe's Introduction

Hello, I'm Jairo Ivo! ๐Ÿ˜

About Me

  • ๐ŸŽ“ Iโ€™m a Civil Engineering Master's student at the Transportation Engineering Department, Federal University of Cearรก (UFC), part of the Transport and Environment Group (Trama).
  • ๐ŸŒ Passionate about environmental monitoring and urban infrastructure improvement.
  • ๐ŸŽฎ In my free time, I love tinkering with electronics and programming.

Programming and Projects

  • ๐Ÿค– I'm an avid programmer, often working on projects with Arduino, ESP32 using C++ and MicroPython.
  • ๐Ÿ“Š Data enthusiast, frequently engaging in data analysis projects with Python.
  • ๐ŸŒ Also skilled in HTML, CSS, JS, Java.

Featured Projects

  • Geocoding Tools
    Geocode

    • geocode-with-google (Public): Automate geocoding of addresses from Excel files using Selenium WebDriver, with caching and logging for efficient data processing.
    • geocode-with-nominatim (Public): Efficient Python-based geocoding tool with local Nominatim server support, caching, and progress tracking for large datasets.
  • gps-temp-view (Public)
    GPS Temp View
    An Arduino project for urban heat island monitoring using ESP32, BME280 sensor, u-blox GPS, and SD card data logging.

  • pavevibe (Public)
    PaveVibe
    PaveVibe: A georeferenced device leveraging ESP32, accelerometer, and GPS data to measure and map pavement quality, identifying defects for maintenance and infrastructure improvement.

Let's Connect!

Feel free to reach out on Instagram or follow my projects on GitHub.

pavevibe's People

Contributors

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Watchers

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