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hamidhosen42/README.md

Hi there 👋

I am Md. Hamid Hosen, currently working as a Software Engineer (Mobile) at Project 2morrow Software Ltd.
In my role, I develop scalable cross-platform applications using Flutter, Jetpack Compose, Kotlin, and Swift.
I'm also exploring the intersection of Mobile Development and AI, including LLMs, XAI, and Multimodal AI.
I hold a B.Sc. in Computer Science & Engineering from East Delta University, Bangladesh.

🔬 Primary Research Interests

  • Large Language Models (LLMs)
  • Multimodal AI & Fusion
  • Mobile Health & Explainable AI (XAI)
  • NLP for Mobile Interaction
  • Vision-based UI Understanding
  • AI-powered Mobile Applications

🌐 Socials:

Discord Facebook Instagram LinkedIn Medium X YouTube [Mastodon](https://mastodon.social/@Md.Hamid Hosen) email

💻 Tech Stack:

C C++ Dart GraphQL Kotlin LaTeX Python Swift Firebase Anaconda FastAPI Flutter JWT MongoDB SQLite Supabase Figma Keras Matplotlib NumPy Pandas PyTorch scikit-learn GitHub Git

Github Stats 📊

GitHub Streak

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  1. Enhancing-Glaucoma-Diagnosis-with-Explainable-AI-Using-Vision-Transformers-Deep-Learning-Techniques Enhancing-Glaucoma-Diagnosis-with-Explainable-AI-Using-Vision-Transformers-Deep-Learning-Techniques Public

    This project presents an explainable AI-based glaucoma diagnosis system using deep learning and Vision Transformers (ViTs). Retinal fundus images are preprocessed with techniques like CLAHE and edg…

    Jupyter Notebook

  2. Predicting-Stress-in-Bangladeshi-University-Students-A-LIME-Interpretable-Machine-Learning-Approach Predicting-Stress-in-Bangladeshi-University-Students-A-LIME-Interpretable-Machine-Learning-Approach Public

    This study predicts stress levels among Bangladeshi university students using machine learning and explainable AI (LIME). The model, primarily using Support Vector Classifier (SVC), identifies at-r…

    Jupyter Notebook

  3. Unveiling-Predictive-Factors-in-Apple-Quality-Leveraging-LIME-SHAP-and-the-Synergy-of-Machine Unveiling-Predictive-Factors-in-Apple-Quality-Leveraging-LIME-SHAP-and-the-Synergy-of-Machine Public

    This repository contains research from "Unveiling Predictive Factors in Apple Quality," presented at ICEEICT 2024. It covers apple quality classification using ANN (92.87% accuracy) and XAI tools (…

    Jupyter Notebook

  4. Enhancing-Food-Security-EfficientNet-B0-XAI-in-Plant-Disease-Classification Enhancing-Food-Security-EfficientNet-B0-XAI-in-Plant-Disease-Classification Public

    This project leverages deep learning models, particularly EfficientNet-B0, to classify 38 plant diseases with an accuracy of 99.86%. Using advanced techniques like image segmentation (DeePLabV3+) a…

    Jupyter Notebook

  5. Pothole-Detection-Using-Transfer-Learning-Models-A-Comparative-Study Pothole-Detection-Using-Transfer-Learning-Models-A-Comparative-Study Public

    Pothole Detection Using Transfer Learning Models: A Comparative Study

    Jupyter Notebook