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Hi there 👋

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Hi, I'm MD. SHAHIDUL ISLAM! 👋

I'm a Software Engineer with 4+ years of experience in Flutter mobile app development. Passionate about creating beautiful, user-centric interfaces and integrating cutting-edge AI technologies,

Skills:

  • Languages:

    • Dart (Flutter) 🚀
    • Kotlin, Swift, Rust/C++ (potential for Dart FFI)
    • TypeScript (Firebase integration)
  • App Development:

    • Responsive UI/UX design in Flutter 💻
    • State management (GetX, Provider, Bloc) 📊
    • REST API integration 🌐
    • Firebase integration 🔥
    • Cross-platform development expertise
  • Machine Learning:

    • Neural networks, Deep Learning 🧠
    • TensorFlow, TensorFlow Lite, Keras, PyTorch 🧪
    • AI model integration into Flutter apps 🤖
  • Tools:

    • Git, GitHub (Version control) 📚
    • CI/CD for Flutter 🔄
    • Docker 🐳
    • Postman 📬

Pub dev package i developed


Projects

  • All Tool Pack - Cam Scanner Clone (Flutter/Dart)

    • Powerful Android camera scanner app.
    • Replicates the functionality of popular scanning apps like CamScanner.
    • Demo URL: Play Store
  • TripTailor - AI-Powered Travel App (Flutter/Dart)

    • Leverages AI for personalized travel recommendations and planning.
    • Aims to revolutionize travel experiences.
    • Demo URL: Preview
  • AI Video Creator (Flutter/Dart)

    • Intuitive mobile app for video generation and editing.
    • Powered by artificial intelligence and machine learning.
    • Demo URL: Preview
  • University Alumni App (Flutter/Dart)

    • Connects alumni through detailed profiles, networking features, and AI-powered search.
    • Demo URL: Preview
  • DashCam App with AI Integration (Flutter/Dart)

    • Offers advanced driving behavior analysis, accident detection, and real-time video streaming.
    • Demo URL: Preview
  • More Projects: Explore my full portfolio on GitHub https://xeron56.github.io/

MD. SHAHIDUL ISLAM's Projects

dncnn-jpeg icon dncnn-jpeg

A tensorflow implementation of 'Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising' only for JPEG deblokcing

dragon-book-exercise-answers icon dragon-book-exercise-answers

Compilers Principles, Techniques, & Tools (purple dragon book) second edition exercise answers. 编译原理(紫龙书)第2版习题答案。

easyocr icon easyocr

Ready-to-use OCR with 40+ languages supported including Chinese, Japanese, Korean and Thai

edsr-pytorch icon edsr-pytorch

PyTorch version of the paper 'Enhanced Deep Residual Networks for Single Image Super-Resolution' (CVPRW 2017)

esrgan icon esrgan

ECCV18 Workshops - Enhanced SRGAN. Champion PIRM Challenge on Perceptual Super-Resolution (Third Region)

ever icon ever

Ever® - Open-Source Commerce Platform for On-Demand Economy and Digital Marketplaces

extendedtinyfaces icon extendedtinyfaces

Detecting and counting small objects - Analysis, review and application to counting

face-api.js icon face-api.js

JavaScript API for face detection and face recognition in the browser and nodejs with tensorflow.js

face-detection-based-attendance-system icon face-detection-based-attendance-system

:cop: :woman:By detecting the human face through Machine learning auto attendance will be recorded in the university, school, college or other educational medium

face_recognition icon face_recognition

A light weight face recognition implementation using a pre-trained facenet model

facenet-caffe icon facenet-caffe

facenet recognition and retrieve by using hnswlib and flask, convert tensorflow model to caffe

facenet-face-recognition icon facenet-face-recognition

A face recognition demo performed by feeding images of faces recorded by a webcam into a trained FaceNet network to determine the identity of the face

faceswap-gan icon faceswap-gan

A denoising autoencoder + adversarial losses and attention mechanisms for face swapping.

fastai icon fastai

The fast.ai deep learning library, lessons, and tutorials (2018)

flask-angular-data-science icon flask-angular-data-science

Repository for a data science starter app using Flask, Angular and Docker. https://medium.com/@dvelsner/deploying-a-simple-machine-learning-model-in-a-modern-web-application-flask-angular-docker-a657db075280

flutter-go icon flutter-go

flutter 开发者帮助 APP,包含 flutter 常用 140+ 组件的demo 演示与中文文档

flutter-signalr-chat-all icon flutter-signalr-chat-all

Welcome to the "Flutter SignalR Chat" repository! This project is a demonstration of real-time chat application built using Flutter on the frontend and C# SignalR on the backend.

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