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atifa1110/README.md

Hi there 👋, I'm Atifa Fiorenza

Android Developer | Flutter Enthusiast | Mobile App Developer

I'm a passionate Android developer with hands-on experience in creating responsive and engaging mobile applications. My focus is on leveraging modern technologies and best practices to build seamless user experiences. I'm currently diving into multiplatform development with Flutter to expand my reach across platforms.

🛠️ My Tech Stack

  • Languages: Java, Kotlin, Dart, HTML, Javascript
  • Android: Jetpack Compose, Coroutine, LiveData, Flow, Hilt, Material Design
  • Backend & Database: Firebase (Auth, Crashlytics, Analytics), Retrofit, Room, Hive, Drift
  • Testing: JUnit, Mockito, Espresso
  • Tools: Git, Android Studio, Proguard, Detekt

💡 What I’m Up To

  • Working on a Flutter project that uses Drift and Hive for local storage and exploring multiplatform capabilities with Flutter.
  • Implementing Firebase authentication and error handling in Kotlin with Jetpack Compose.
  • Reading books like Glucose Revolution and Welcome Home to understand self-care and wellness better.

📬 Get in Touch

🌱 "Always learning, always growing" – Let’s connect and explore the endless possibilities of mobile development!

Github Statistic

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  1. Ecommerce-Jetpack Ecommerce-Jetpack Public

    Tokopaerbe is an e-commerce application that sells a variety of electronic products, featuring functionalities such as pre-login, store browsing, order fulfillment, shopping cart, wishlist, product…

    Kotlin

  2. Forum-React Forum-React Public

    Forum React is a web-based discussion forum application built using React

    JavaScript

  3. Cinemax Cinemax Public

    Cinemax is a modern Android movie browsing application built with Jetpack Compose, Firebase, and TMDB API. It features user authentication, movie search, wishlist management, and runtime detail vie…

    Kotlin

  4. Fruit-Classification Fruit-Classification Public

    This project utilizes deep learning for fruit image classification using the Fruits 360 dataset. A CNN model is trained to accurately recognize various types of fruits. This submission is made for …

    Jupyter Notebook

  5. Shopee-Sentiment-Analysis Shopee-Sentiment-Analysis Public

    This project uses machine learning and deep learning to classify sentiments from Shopee reviews scraped online. Four models were tested. Submitted for Dicoding’s Belajar Fundamental Deep Learning c…

    Jupyter Notebook

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