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topmasum/README.md

Masum | Computer Science & Engineering student | App developer | Web developer

A Computer Science & Engineering student specializing in Computer Vision, Full-Stack Web Development, and Mobile Application Architectures. Active in computer vision research and building end-to-end, high-performance systems with modern frameworks.

Core Specializations & Tech Stack

  • Programming Languages: Dart, Python, JavaScript, TypeScript, SQL, C++
  • Mobile & Frontend Development: Flutter, Next.js, React.js, Tailwind CSS
  • Deep Learning & Computer Vision: TensorFlow, Keras, OpenCV, PyTorch, Google ML Kit
  • Tools & Infrastructure: Docker, Git, Linux

Featured Projects

Pocket Planner

A high-performance personal finance Android application built with Flutter, published on the Google Play Store. Integrates on-device machine learning for automated receipt OCR, custom category-level budgets, and visual spending analytics.

  • Technologies used: Dart, Flutter, Google ML Kit Text Recognition, fl_chart, shared_preferences

Satellite Image Land Classification

An automated computer vision solution using a custom Convolutional Neural Network (CNN) designed to segment and classify diverse terrain types from remote sensing satellite imagery, achieving 90% accuracy.

  • Technologies used: Python, TensorFlow, Keras, OpenCV, NumPy, Matplotlib

E-Commerce Web Application

A modular, full-stack e-commerce web platform featuring relational database schemas, secure session authentication interfaces, responsive product filtering, and fast server-side loading pipelines.

  • Technologies used: TypeScript, Next.js, React, Tailwind CSS, SQL

Education & Activities

  • B.Sc. in Computer Science and Engineering | Jagannath University | (2022-Present)
  • Research Focus: Optimizing computer vision architectures and deep learning models for medical image analysis and remote sensing.
  • Community & Leadership: Executive member of the JnU CSE Club and Digital Content Creator at Youtube Channel "CSEJnU".

Connect With Me

Pinned Loading

  1. satellite-image-land-classification satellite-image-land-classification Public

    Automated land type classification from satellite imagery using a Convolutional Neural Network (CNN), achieving 90% accuracy.

  2. E-commerece-App E-commerece-App Public

    A full-stack e-commerce web application featuring user authentication, product catalogs, relational database integration, and a modern UI.

    Dart

  3. Motor-shop-manager-App Motor-shop-manager-App Public

    A high-performance Android mobile management system for automotive shops built with Flutter and Firebase, featuring real-time synchronization, offline data persistence, and business analytics.

    Dart

  4. BMI-Calculator-app BMI-Calculator-app Public

    A sleek and lightweight Android health utility application built with Flutter, featuring precise Body Mass Index (BMI) computations, interactive feedback metrics, and a polished Poppins custom typo…

    Dart 1

  5. Pet-guardian- Pet-guardian- Public

    A dedicated Android mobile application built with Flutter and Firebase connecting pet owners with verified caregivers, featuring sitter booking workflows, live chat interfaces, and ratings.

    Dart

  6. Monthly-expense-tracker-app Monthly-expense-tracker-app Public

    A high-performance Android personal finance tracker built with Flutter, featuring Google ML Kit OCR receipt scanning, dynamic analytics, and category-level budget planning. Published on Google Play.

    Dart