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Lucs1590/README.md

Lucas de Brito Silva

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Hi, guys! 👋 I'm Lucas de Brito Silva, but feel free to call me "Brito". I have a lot of dreams, and they move me. My passion for technology and continuous learning drives me to explore the boundaries of AI and machine learning.

🌱 About Me:

  • Technologist in Big Data in Agribusiness by State of São Paulo Technology College
  • Master’s in Computer Science by São Paulo State University
  • Machine Learning Engineer at Agi
  • Runner, Triathlete and fitness enthusiast 🏊🚴‍♂️🏃‍♂️

💡 What I Do: I currently work on building scalable machine learning algorithms and optimizing AI performance in production environments. Whether it’s working on interesting AI projects, writing technical articles, or contributing to open source, I’m constantly striving to grow and give back to the community.

📝 Check Out My Writing: Sometimes, I write about the things I learn:

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🚴 Follow My Fitness Journey: I enjoy running and staying active. Follow my weekly runs on Strava:

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🌐 More About Me: For more information, check out my personal website at www.lucasbrito.com.br.

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  1. Nkocr Nkocr Public

    🔎📝 This is a module to make specifics OCRs at food products and nutritional tables.

    Python 39 10

  2. Coffee_Recognize Coffee_Recognize Public

    🌱🔎 This is my graduation project. The objective is to detect the disease in the coffee leaf and the contamination percentage.

    TypeScript 9 1

  3. strava-analysis strava-analysis Public

    🏃📊 Using strava to do personal analyses and to practice data scientist skills.

    Jupyter Notebook 3

  4. eucalyptus-count eucalyptus-count Public

    🌲🧮 Eucalyptus counting using artisanal methods and computer vision.

    Python 2

  5. auto_annotate auto_annotate Public

    Forked from AlvaroCavalcante/auto_annotate

    Automate approach to label images for object detection using TensorFlow

    Jupyter Notebook

  6. strava-to-trainingpeaks strava-to-trainingpeaks Public

    This is a simple script that will download your activities from Strava and upload them to TrainingPeaks in assisted mode.

    Python 11 1