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Achievement: Pull SharkAchievement: Arctic Code Vault Contributor

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Achievement: Pull SharkAchievement: Arctic Code Vault Contributor

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Jeremy-Gitau/README.md

Hello, I'm [Jeremy Gitau]

📱 Mobile App Developer | 🤖 Machine Learning Engineer | Backend Engineer

Welcome to my GitHub profile! I am a Mobile Application Engineer and an AI/Machine Learning Engineer. I am passionate about creating innovative mobile apps and leveraging the power of machine learning to solve real-world problems. Here, you'll find a glimpse of my projects and contributions in these domains.

About Me

  • 👨‍💻 I love building mobile apps that are Clean(Clean Architecture), industry standard, modularised, tested, and provide value and exceptional user experiences.
  • 🧠 I'm enthusiastic about machine learning and AI, from Data Collection, Data Cleaning, Data Analysis, and Training Models to deploying them in production.
  • 💻 I'm a technical writer, mainly writing about Machine learning, AI, and Mobile development content.
  • 📱 I'm collaborating on an Android project called Mitch AI, an Android virtual assistant that uses the power of AI.

Projects

Here are some of the projects I've worked on:

  1. [Mitch AI] - [Still in progress]- An AI chatbot harnessing OpenAi capabilities
  2. Compose Weather App
  3. Flutter Crypto APP
  4. Skin Cancer Disease Detection
  5. heart disease prediction ML

You can explore my GitHub repositories for more projects and code samples.

My Skill Set

Frontend

Bootstrap CSS3 HTML5 JavaScript Illustrator Python Figma Material UI Tailwind CSS

Backend

JavaScript PHP MongoDB Node.js Linux Python Java Oracle Kotlin Keras Android Django PostgreSQL TensorFlow Flask Firebase XAMPP pytorch AWS Tableau

DevOps

GCP Kubernetes Linux Git Bash AWS Java

## Github Stats

Let's connect and collaborate on exciting projects!

Visitor Count

GitHub

Popular repositories Loading

  1. Plant_leaf_detector_android_app Plant_leaf_detector_android_app Public

    This is an android app that uses a deep learning model trained using CNN using kaggle datasets. This android app can detect any disease of the plants trained in the model with an accuracy of 0.8912…

    Java 2 1

  2. cpims-ovc-3.0 cpims-ovc-3.0 Public template

    Forked from uonafya/cpims-ovc-3.0

    This is the upgrade of CPIMS code base from python 2.7/Django 1.8 to python 3.10/Django 4.0.2

    HTML 1

  3. heart-disease-prediction-ML heart-disease-prediction-ML Public

    heart disease prediction using datasets from Kaggle with an accuracy of 79% using the logic-regression algorithm

    Jupyter Notebook 1

  4. music-genre-prediction-using-ML music-genre-prediction-using-ML Public

    machine learning project that predicts the type of music you may like depending on you age and gender using the decision tree algorithm

    Jupyter Notebook 1

  5. ehrconfigs ehrconfigs Public

    Forked from uonafya/ehrconfigs

    JavaScript 1

  6. openmrs-core openmrs-core Public

    Forked from openmrs/openmrs-core

    OpenMRS API and web application code

    Java 1