AREEB EJAZ
0%

I'm a Full Stack
Developer

Building scalable web and mobile solutions with React, Node.js and Flutter AI enthusiast.

Areeb Ejaz

About Me

My core focus is Flutter development and UI/UX design, working across the full product cycle from wireframing in Figma to shipping mobile apps in Flutter/Dart. Python and C++ support my academic and AI-based work. I place equal value on clean interfaces, smooth user experiences, and code built to scale. My project portfolio includes mobile applications, portfolio websites, and AI-powered systems such as a Smart Health Prediction app, each requiring me to think like both a developer and a designer.

0 Academic & Professional Projects

Skills

Languages
JavaScript
JavaScript
TypeScript
TypeScript
Python
Python
PHP
PHP
Dart
Dart
C++
C++
HTML5
HTML5
CSS3
CSS3
Frameworks & Libraries
React
React
Node.js
Node.js
Express.js
Express.js
Flutter
Flutter
Laravel
Laravel
Tailwind CSS
Tailwind CSS
Bootstrap
Bootstrap
Vite
Vite
AI & Machine Learning
Scikit-Learn
Scikit-Learn
XGBoost
SMOTE
Groq LLM API
Groq LLM API
Databases
MySQL
MySQL
MongoDB
MongoDB
MS SQL Server
MS SQL Server
Firebase
Firebase
Developer Tools
Git
Git
GitHub
GitHub
Docker
Docker
VS Code
VS Code
Android Studio
Android Studio
Vercel
Vercel
Hardware & IoT
Arduino
Arduino
Embedded C
Embedded C
GSM Module
Design
Figma
Figma
UI/UX Design
Prototyping

Project-Based Experience

MediMind AI
01 / 04
MediMind AI

A full-stack AI-powered healthcare assistant designed to provide intelligent symptom assessment and guidance. Built using a Python backend, React + Vite frontend, scikit-learn classification models, and Groq LLM integration. The system supports over 130 symptoms with severity scoring, precaution recommendations, and an interactive conversational experience to enhance early health awareness.

PythonReactScikit-LearnGroq APIVite
StreamFlix
02 / 04
StreamFlix

A Netflix-inspired streaming platform built with Vanilla JavaScript featuring live TMDB API integration, a custom fuzzy search engine, profile-based watch history with timestamps, personalized recommendation experiences, and Progressive Web App functionality with Service Worker-powered offline support.

JavaScriptTMDB APIPWAService Worker
MedRisk AI
03 / 04
MedRisk AI

An advanced machine learning risk prediction platform developed for clinical decision support. The system predicts COVID-19 hospitalization, ICU admission, and mortality outcomes using more than 3,000 patient records. It utilizes SMOTE for class balancing, 5-fold stratified cross-validation for robust evaluation, and XGBoost achieved an exceptional ROC-AUC score of 0.999 on Kaggle datasets.

XGBoostSMOTEPythonScikit-Learn
SecureVault
04 / 04
SecureVault

An embedded hardware security solution developed using Arduino. The system includes keypad-based authentication, secure EEPROM password storage, a servo-controlled locking mechanism, a 60-second brute-force protection lockout, and GSM-based SMS OTP recovery for enhanced physical security.

ArduinoGSM ModuleEEPROMEmbedded C
View All Projects on GitHub
What it's like
working with me

Get in Touch