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Hi , I'm Matheus Ribeiro

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  • 🔥 Senior Developer and content creator in his spare time 😃

  • 🔭 I’m currently working at Avivatec

  • 🕗 7 years working in programming

  • 📅 Undertaking the #100DaysOfCode challenge

  • 🔓 Practitioner of the open source community

  • 🤖 Artificial intelligence enthusiast

  • 💬 Ask me about Technology, Games and Series

  • ⚡ Lover of Games and Series 😜

  • 📚 Sharing experiences and acquiring new knowledge

  • 🏃 Running after my goal and encouraging people

  • 📝 My aim is to provide projects to help people

  • ✨ More at omatheusribeiro.com

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Main skills:

HTML  CSS  JavaScript  TypeScript  Angular  .Net  C#  SQLServer 

Studying in this moment:

ReactJs  NodeJs  Firebase  Docker  RabbitMQ  Kubernetes  Unity 

Matheus Ribeiro's Projects

duplicate-photo-check-bot icon duplicate-photo-check-bot

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

facial-recognition icon facial-recognition

This application is about facial reading to identify expression points in order to find emotions on our faces. In addition, I'm using the user's audio capture to transcribe while the facial reading is done.

ninjaflex icon ninjaflex

This repository is dedicated to a high-performance Point of Sale (POS) system, developed using Angular, .NET Core 7, and SQL Server technologies. With an intuitive and efficient interface built in Angular, this POS system provides a comprehensive solution for sales management and inventory control.

object-recognition icon object-recognition

This application uses the TensorFlow library to create an object recognizer, so React Js was used to build the application.

real-time-ai-hand-pose icon real-time-ai-hand-pose

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.

real-time-pose icon real-time-pose

This is a GitHub project that presents an application developed in ReactJS and TensorFlow to capture and identify body movements in real time. The application uses TensorFlow's PoseNet library to detect body poses and a neural network.

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