My name is Modar Suleiman an AI-Machine learning engineer and Flutter developer based in Lattakia Syria.
I focus on building clean, user-friendly interfaces with great user experiences.
My name is Modar Suleiman an AI-Machine learning engineer and Flutter developer based in Lattakia Syria.
I focus on building clean, user-friendly interfaces with great user experiences.
A collection of projects I’ve worked on.
TaskFlow is a collaborative team and project management mobile application built using Flutter and GetX for
state management. The app is designed to help teams plan, organize, assign, and track tasks efficiently across
multiple projects.
It supports two user roles: Leaders and Members.
Leaders can create projects, assign tasks to team members, set deadlines, and monitor progress through visual
dashboards.
Members can view their assigned tasks, update their status, comment, and upload attachments. The app includes
real-time statistics, progress indicators, authentication, and smooth UI transitions for a seamless user
experience.
Key Features:
⋆ Role-based login (Leader / Member).
⋆ Project and task creation.
⋆ Assign tasks with due dates and file uploads.
⋆ Dashboard with real-time task statistics.
⋆ Comments section inside each task.
⋆ Local data storage using Secure Storage.
⋆ Clean and modern UI built with Flutter.
This project aims to develop an intelligent system for predicting the likelihood of heart disease using machine learning techniques, along with providing a website to display results and make them easily accessible. The project seeks to assist doctors and individuals in assessing heart disease risks by analyzing relevant medical data (such as age, blood pressure, cholesterol levels, etc.), thus enabling proactive health monitoring and taking appropriate preventive measures. The system relies on a set of efficient machine learning algorithms to ensure high predictive accuracy, enhancing its reliability in delivering precise results. The website provides a user-friendly interface that allows users to input their medical data and receive predictions instantly, facilitating continuous health monitoring.