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Hi! I'm Minhaj Uddin Hassan

Web Developer
From Bagladeesh

A Computer Science and Engineering undergraduate student at Premier University in Chittagong.

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About Me

My academic journey is complemented by a strong passion for technology, particularly in areas like full-stack web development, Internet of Things (IoT) AI & Deep Learning. Beyond my studies, I have a passion for teaching and sharing knowledge, aiming to make complex topics accessible to learners. I'm excited to learn more about emerging technologies so I can create smart solutions that solve real-world problems. My goal is to contribute to projects that have a meaningful impact on society.

Hi There!

Personal Infos

  • Name : Minhaj Uddin Hassan

  • Address : Chattogram

  • Status : Pure Single

  • Phone : +88 01818173025

  • Nationality : BD

  • Email: mdhassan49.muh@gmail.com

  • Freelance : Available

  • Languages : Bangla, English

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Skill & Education

Skills

HTML

CSS

JS

PHP

NODE JS

Laravel

Mysql

Bootstrap

Education

  • BSc In CSE - Premier University

    2021 - 2026

  • HSC - Baitush Sharaf Ideal Kamil Madrasah

    2017 - 2019

  • SSC - Baitush Sharaf Ideal Kamil Madrasah

    2015 - 2017
Services

Explore My Digital Expertise

Delivering innovative solutions across Web Development, IoT, AI, and R&D to drive your ideas forward.

  • Web Developent

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    Web Development Journey

    I specialize in crafting full-stack web applications, blending robust backend functionality with clean, responsive frontend designs.

    Experience Highlights

    During my university years, I built several academic and management systems using PHP and Laravel. These projects helped me master MVC architecture and database management with MySQL.

    Professionally, I developed industrial-grade applications using the MERN stack (MongoDB, Express.js, React.js, Node.js), focusing on performance, scalability, and seamless user experiences.

    • PHP & Laravel-based University Projects

    • Industrial Projects using MERN Stack

    • Frontend Design with HTML5, CSS3, Tailwind, Bootstrap

    • Backend APIs with Node.js, Express, and Laravel

    • Deployment using cPanel, Vercel, and GitHub

    I develop every project with care and attention to detail, ensuring clean code and a smooth user experience. From fixing bugs to refining features, I approach development with passion and love for what I do.

  • Robotics & IoT

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    Robotics & Internet of Things (IoT)

    I specialize in building automation and smart IoT systems using microcontrollers such as Arduino, ESP32, and ESP8266. My work focuses on bridging hardware with software to solve real-world problems through intelligent embedded systems.

    One of my notable contributions is the development of SOEMS (Sewing Operator Efficiency Monitoring System), an industry-grade IoT solution for real-time monitoring in garments factories.

    Skills & Experience

    • Designed and deployed real-time IoT monitoring devices
    • Trained students in robotics, IoT, and microcontroller fundamentals
    • Proficient with Arduino IDE, sensor integration, and wireless protocols
    • Focused on building scalable and reliable smart automation systems

    Professional Roles

    Affiliation: Premier University Robotics Club

    • Training Secretary – Session 2024
    • General Secretary – Session 2025

    Internship Experience

    Organization: Insights Automata

    Position: R&D Intern

    > Worked on AI and IoT-based solutions addressing real-world industrial challenges.
    > Focused on prototyping, testing, and improving intelligent automation systems.

  • AI & Deep Learning

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    My Journey into AI & Deep Learning

    With a solid foundation built through completing university courses like Artificial Intelligence (CSE 318 V3) and Neural Networks & Fuzzy Logic (CSE 452 V3), I’ve developed a strong understanding of core AI concepts and deep learning techniques.

    I specialize in applying machine learning and AI models to real-world problems — from classification to object detection. My work includes fine-tuning models for performance optimization and leveraging data to deliver smarter results.

    What Can I Do?

    I’m capable of building and deploying AI models with hyperparameter tuning to improve accuracy and efficiency. Whether it's detecting patterns in data or building classifiers, I bring precision and passion to every project.

    • Experienced in neural networks and fuzzy logic systems

    • Capable of applying ML/DL models for classification and detection tasks

    • Proficient in hyperparameter tuning for performance optimization

    • Hands-on practice through academic and self-directed projects

    I’m always open to contributing to innovative AI projects. If you’re looking for someone to collaborate on deep learning, neural networks, or applied AI — I’m available and ready to help bring ideas to life.

  • Research & Implement

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    Research & Development

    Driven by curiosity and passion, I actively engage in cutting-edge research across AI, Deep Learning, IoT, and Robotics. I aim to solve real-world problems through intelligent systems and innovative thinking.

    Research Focus Areas

    • Artificial Intelligence & Machine Learning: Developed and evaluated ML models for sports analytics, achieving over 97% accuracy using ensemble methods.

    • Deep Learning: Implemented YOLOv8 for ID card detection, enhancing institutional verification systems.

    • Internet of Things (IoT): Designed real-time monitoring systems for the garment sector to optimize operator efficiency and production visibility.

    • Robotics & Autonomous Systems: Focused on reliability, safety, and human-AI interaction to build trustworthy RAS solutions.

    Highlights

    • Published research and built a novel dataset hosted on Kaggle.

    • Applied AI in both industrial and academic environments with high-grade results.

    • Exploring human-centered AI for building reliable robotic systems.

    • Solving real-life industrial problems with smart IoT solutions.

    I’m open to collaborations and contributions in research domains including AI, Robotics, IoT, ML, and Deep Learning. Let’s innovate together and build solutions for the future!

Project

Recent Projects

I Devloped Innovative University and Personal Projects, Creatively Engineered with Passion & Precision

  • Internet of Things

    See Product Details

  • PHP,JS

    Click & See the code

  • LARAVEL

    Click & See Project Video

  • PHP, MySQL

    Click and See the code

  • Tracker By Minhaj

    Networking Tool ( Under Development )

  • PHP, MySQL

    See Image
Experience

Trusted to Lead

I’m dedicated, responsive & committed to driving growth through leadership and collaboration in technical and organizational roles

Premier University Robotics Club

Former Training Secretary

Executive Comittee 2024

General Secretary

Executive Comittee 2025

Insight's Automata

Automation Solution Company in Chittagong

INTERNSHIP

Research & Development

Premier University Computer Club

Challenging boundaries, reaching new heights

Wing Secretary (FALL 2024)

IoT & Embedded System
Research

Exploring Innovation Through Research

My recent research focuses on solving real-world problems with innovation, data, and smart technologies

  • August 28,2024 Artificial Intelligence

    Bangladesh Premier League T20 Cricket Match Outcome Prediction Using an Ensemble Learning Approach

    Predicting the results of T20 cricket matches, like those in the Bangladesh Premier League (BPL), poses unique challenges due to the game's dynamic nature. This research explores the use of machine learning to forecast match outcomes with high accuracy.

    The paper analyzes historical BPL match data using four models: Decision Tree, Random Forest, Gradient Boosting, and XGBoost. Key match features such as toss results, venue, runs, wickets, and past team performances were used.

    The models were evaluated using accuracy, precision, recall, and F1 score. Gradient Boosting and XGBoost performed the best, achieving accuracies of 97.73% and 97.70%, respectively. These ensemble techniques effectively captured the game's complexity.

    “Advanced machine learning models enhance prediction accuracy in dynamic sports like T20 cricket, offering valuable tools for analysts, teams, and enthusiasts alike.”

    This research not only supports the development of live prediction systems but also contributes to real-world applications of machine learning in sports analytics.

    📁 Dataset: View on Kaggle

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  • April 15,2025 Deep Learning

    A Deep Learning Approach for Real-Time Student ID Card Detection and Institution Classification Using YOLOv8

    Identification cards play a vital role in verifying individual identity and ensuring security in institutional settings. This research presents a YOLOv8-based system to detect and verify student ID cards in real-time within educational environments.

    The system uses YOLOv8, a state-of-the-art deep learning model for object detection, to identify whether a person is wearing an ID card. It also classifies the institution associated with the card by analyzing its logo or design patterns.

    The model was trained on a custom dataset containing various ID card formats under different lighting and positional conditions. The solution aims to automate identity verification processes, support access control, and enable seamless attendance tracking.

    “This system leverages real-time object detection to enhance campus safety and operational efficiency by ensuring ID compliance among students and staff.”

    With its real-time performance and high detection accuracy, the proposed solution can be integrated into surveillance systems or entry checkpoints in schools, colleges, and universities.

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  • May 24,2025 Autonomous Robotics

    Artificial Intelligence for Reliable and Ethical Autonomous Robotics: Key Challenges and Solutions

    The COVID-19 lockdown presented unique photographic opportunities by transforming everyday scenes into extraordinary subjects. Even when restricted indoors, creativity can thrive through imaginative perspectives and home-bound exploration.

    Unusually quiet streets and socially-distanced queues provide powerful visual records of these unprecedented times. Capturing such scenes contributes to a historical archive of life during lockdown.

    Familiar spaces can become sources of inspiration if approached with fresh eyes. Everyday items, lighting conditions, and geometry around the home can spark artistic creativity.

    Photographers often find new creativity when working within the familiar. By seeing home through a different lens, artistic breakthroughs are possible even without travel.

    The key lies in slowing down, observing details, experimenting with composition and light, and exploring different angles. This mindful approach can turn the ordinary into visually compelling stories.

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