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😃 Having A Time Of My Life
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😃 Having A Time Of My Life
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Achievement: YOLOAchievement: Pull Sharkx2

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Achievement: YOLOAchievement: Pull Sharkx2

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misingo255/README.md

Hi 👋 My name is Wilbert Misingo

Software Developer and Machine Learning applications developer

  • 🌍  I'm based in Dar es salaam, Tanzania
  • 📝  See my technical writting blog at http://www.dev.to/wmisingo
  • 🖥️  See my portfolio at https://www.wilbertmisingo.com
  • ✉️  You can contact me at [email protected]
  • 🧠  I love learning new stuffs on Computer Vision and Natural Language Processing
  • 🤝  I'm open to collaborating on Intergrating AI with mobile and web applications
  • ⚡  I love poetry

Skills

CDartGitJavaScriptPHPPythonTypeScriptHTML5ReactCSS3SassTailwindCSSChakra UIBootstrapMaterial UIViteFast APIGraphQLOracleNestJSMongoDBMySQLPostgreSQLFirebaseAppwriteHerokuFlaskSupabaseDjangoLaravelFlutterLinuxPyTorchTensorFlowPhotoshopIllustratorXDFigmaSketchGoogle Cloud

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  1. react-brain-tumor-xray-classification-app react-brain-tumor-xray-classification-app Public

    This project is a React application built with Vite that utilizes machine learning to classify brain tumor X-ray images into two categories: tumor present and tumor absent.

    JavaScript

  2. react-passport-image-classifier-app react-passport-image-classifier-app Public

    This is a machine learning project aimed at detecting whether a passport image has a blue background or not. Passport background verification is a crucial step in various automated systems, such as…

    JavaScript

  3. react-skin-cancer-image-classification-app react-skin-cancer-image-classification-app Public

    This project is a React application built with Vite that utilizes machine learning to classify skin cancer images into three categories: benign cancer, malignant cancer, and non-skin cancer images.

    JavaScript

  4. react-tuberculosis-xray-classification-app react-tuberculosis-xray-classification-app Public

    This project is a React application built with Vite that utilizes machine learning to classify tuberculosis (TB) X-ray images into two categories: TB present and TB absent.

    JavaScript 1

  5. football-detection-tracking football-detection-tracking Public

    This project is a football player, referee, and ball detection and tracking application built using the YOLOv9 model. It utilizes libraries such as Ultralytics, NumPy, OpenCV-Python, and Supervisio…

    Python 2

  6. react-cassava-leaves-disease-classification-app react-cassava-leaves-disease-classification-app Public

    This project utilizes machine learning algorithms to analyze photos of cassava leaves and determine the type of disease present.

    JavaScript