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FullStack Dev & passionate about contributing to technology.
🤖
FullStack Dev & passionate about contributing to technology.
16 followers · 4 following

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Achievement: Pull Sharkx3Achievement: QuickdrawAchievement: YOLOAchievement: Arctic Code Vault Contributor

Achievements

Achievement: Pull Sharkx3Achievement: QuickdrawAchievement: YOLOAchievement: Arctic Code Vault Contributor

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omatheusribeiro/README.md

Hi , I'm Matheus Ribeiro

Profile views

  • 🔥 Senior Developer
  • 🕗 7 years working in programming
  • 🔓 Practitioner of the open source community
  • 📅 Undertaking the #1YearOfCode challenge

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Contact

Main skills:

HTML  CSS  JavaScript  TypeScript  Angular  .Net  SQLServer 

Studying in this moment:

ReactJs  NodeJs  Firebase  Docker  RabbitMQ  Kubernetes  Unity 

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  1. advanced-detection-app advanced-detection-app Public

    The advanced detection application was built as a way to advance knowledge in the use of artificial intelligence. Therefore, this project uses the Tensorflow library together with Angular 19 to mak…

    TypeScript

  2. duplicate-photo-check-bot duplicate-photo-check-bot Public

    Duplicate Photo Check Bot: A user-friendly .NET Core 7 API with an Angular 16 interface to detect and manage duplicate photos effortlessly.

    TypeScript

  3. facial-recognition facial-recognition Public

    The Facial Recognition project is a powerful system designed to detect facial expressions, recognize faces, and estimate age using the face-api library.

    CSS 4 1

  4. object-recognition object-recognition Public

    The objective of this project is to demonstrate the use of the TensorFlow library to perform object recognition. TensorFlow is an open source library that has several real-time detection functional…

    CSS 2

  5. real-time-ai-hand-pose real-time-ai-hand-pose Public

    The application was created to identify Hand Pose positions, so I use the Tensorflow library to read the user's hand and identify the movement points.

    JavaScript

  6. real-time-pose real-time-pose Public

    The Real-Time Pose Application is an advanced system designed to capture and classify real-time body movements using the TensorFlow library and ReactJS.

    JavaScript