Smart Systems Engineer · Cairo, Egypt

Omar Hamed Flutter & AI Dev

Building intelligent mobile experiences

Engineering student at Helwan National University specializing in Smart Systems. I build AI-powered Flutter applications that connect machine intelligence with real-world usability.

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⚡Flutter Expert

🧠AI Integration

🔐Security Audit

Projects Built

Certifications

Internships

Hackathons

Who I Am

Engineered to Think & Build

I'm Omar Hamed, a Flutter developer and smart systems engineering student from Cairo, Egypt. I build AI-powered mobile applications that are fast, elegant, and genuinely intelligent.

My stack spans the full pipeline — from training ML models in Python to deploying them inside polished Flutter interfaces. I've shipped chat apps, exam platforms, news apps, AI avatars, parking systems, and IoT-connected devices.

Flutter / Dart

Python / ML

TensorFlow / PyTorch

Firebase / Supabase

FastAPI / REST APIs

Scikit-learn / Pandas

IoT / MQTT / ESP32

OpenCV / Computer Vision

C / C++ / Java / SQL

Embedded C / Arduino

Git / GitHub

Seaborn / Matplotlib

Selected Work

Projects That Matter

🏆 2ND PLACE

AI Avatar · Hackathon

Aang — AI Educational Avatar

AI-powered avatar teaching children about AI using speech recognition and real-time lip animation.

FlutterFastAPIWave2LipFlan-T5

VIEW CASE STUDY →

Machine Learning

AI Study Recommendation System

Gradient Boosting model recommending personalized study strategies — 85% accuracy.

PythonScikit-learnFlutterFirebase

VIEW CASE STUDY →

4TH PLACE

Team · GDG Flutter Track

FANNY — Local Crafters App

Marketplace connecting users with local crafters. Google Auth, Firestore, responsive Flutter UI.

FlutterFirebase AuthFirestore

VIEW CASE STUDY →

4.8 ★

Mobile App · Internship

GiT News — Smart Headlines App

Live news app with category filtering. 4.8-star rating in first month at Uneeq internship.

FlutterNewsAPIFirebaseREST

VIEW CASE STUDY →

Embedded + Vision

Smart Car Parking System

OpenCV + Arduino detecting parking spots in real time. +30% utilization efficiency.

OpenCVPythonArduino

VIEW CASE STUDY →

Full-Stack Flutter

HR Fleet Management System

MySQL + ERD relational model with Flutter + Firebase. +65% user engagement.

FlutterFirebaseMySQLERD+

VIEW CASE STUDY →

🚀 LIVE ON STORES

Security Audit · Deployment

EasyFast — Delivery App

Reviewed source code for security vulnerabilities, patched critical issues, and shipped to Google Play & App Store.

FlutterSecurityGoogle PlayApp Store

VIEW CASE STUDY →

Journey

Experience & Education

Oct 2022 – 2027

B.Sc. Smart Systems Engineering

Helwan National University — Ain Helwan, Cairo

Coursework: Artificial Intelligence, Prompt Engineering, Mobile Application Development, Embedded Systems.

Aug – Sep 2025

IoT Summer Training — 120 Hours NTI

National Telecommunication Institute (ITIDA & NTI)

Designed IoT network topologies using Cisco Packet Tracer.
Built ESP32 firmware in MicroPython on Wokwi simulator.
Cloud-connected IoT devices using MQTT with HiveMQ broker.
Integrated sensors with Master of Things platform for mobile control.

Jul – Aug 2025

Huawei HCIA-AI V4.0 — 80 Hours 1000/1000

Huawei ICT Academy × National Telecommunication Institute

Earned HCIA-AI V4.0 with a perfect score of 1000/1000.
Style Transfer AI project: photos to anime using TensorFlow Hub + PyTorch with 4K enhancement.

Feb – Mar 2025

Flutter Developer Intern

Uneeq

Online Exam App with Flutter, Firebase & Dart — real-time sync.
News mobile app achieving 4.8-star rating in first month.
Git Message — real-time chat app with Firebase authentication.

Get In Touch

Ready to Build Something Intelligent?

I'm open to Flutter projects, AI integration work, internships, and exciting collaborations.

Available for Projects

✉omar7amed411@gmail.com inlinkedin.com/in/omar7amed ⌥github.com/omar7amed 📞+20 114 211 5716

🏆 2nd Place · 36 Universities · 30,000 EGP

Aang

An AI-powered avatar that teaches children about AI through speech recognition, real-time animation, and natural conversation.

▶ Watch Demo ⌥ GitHub ↓ Download APK

Problem & Solution

The Problem

Children struggle to understand AI concepts in an engaging way
Traditional educational tools are static and non-interactive
No personalized, conversational AI learning exists for kids
Lip-synced animated characters require expensive software

Our Solution

AI avatar with real-time animated lip-sync using Wave2Lip
Natural voice + chat interaction via STT and TTS engines
Google Flan-T5 for child-friendly AI-generated responses
Flutter app + FastAPI backend for low-latency performance

Architecture

Features

🎤

Speech RecognitionReal-time STT for natural voice interaction

👄

Real-Time Lip SyncWave2Lip model animates avatar mouth to audio

💬

Chat InterfaceText-based fallback with Flan-T5 responses

🔊

Voice ResponsesTTS converts AI answers to natural speech

🤖

AI-Powered AnswersGoogle Flan-T5 language model backend

📱

Flutter Mobile AppSmooth cross-platform UI for iOS & Android

Tech Stack

Flutter

Dart

FastAPI

Python

Wave2Lip

Google Flan-T5

Speech-to-Text

Text-to-Speech

Engineering Challenges

Challenge

Real-time lip sync had high latency — initial response time was ~2.3s, breaking the illusion of live conversation.

Solution

Optimized the Wave2Lip pipeline with async FastAPI processing, reducing latency from 2.3s to 0.9s.

Challenge

Flan-T5 responses weren't always child-appropriate — too complex or abstract.

Solution

Engineered a system prompt wrapper instructing the model to respond in simple, friendly language for ages 6–12.

Results & Impact

2nd

Place / 36 Universities

30K

EGP Prize Won

0.9s

Lip-Sync Latency

60%

Latency Reduction

Screenshots

Demo Video

Machine Learning · 85% Accuracy

AI Study Recommender

A Gradient Boosting ML system that analyzes student profiles and delivers personalized study method recommendations with 85% accuracy.

▶ Watch Demo ⌥ GitHub ↓ Download APK

Problem & Solution

The Problem

Students use one-size-fits-all study approaches
No data-driven tool for personalized study strategies
Low academic performance due to inefficient methods

Our Solution

Gradient Boosting classifier trained on student feature data
85% accuracy in recommending the right strategy
Flutter + Firebase mobile app for on-the-go access
Personalized insights in a clean dashboard

Architecture

Features

📊

85% AccuracyGradient Boosting outperforms baseline models

🎯

PersonalizationBased on individual student profile data

📱

Mobile AccessFlutter + Firebase for real-time access

📈

Insight DashboardVisual breakdown of recommended strategies

🔄

Real-Time SyncFirebase keeps data updated instantly

🧪

Jupyter NotebookFull model training & evaluation pipeline

Tech Stack

Python

Scikit-learn

Gradient Boosting

Jupyter Notebook

Flutter

Firebase

Pandas

Seaborn

Engineering Challenges

Challenge

Initial Decision Tree plateaued at 68% accuracy — not reliable for real recommendations.

Solution

Switched to Gradient Boosting with hyperparameter tuning + feature engineering, reaching 85% accuracy.

Results & Impact

85%

Model Accuracy

+17%

Accuracy Gain

100%

Mobile Access

Live

Firebase Sync

Screenshots

Demo Video

Team Project · GDG-CIC Flutter Track · 4th Place

FANNY

A Flutter marketplace connecting users with talented local crafters — featuring Google Auth, real-time Firestore, and a responsive, beautiful UI.

▶ Watch Demo ⌥ GitHub ↓ Download APK

Problem & Solution

The Problem

Local crafters have no digital platform to showcase their work
Users can't easily discover or contact local craftspeople
No trusted marketplace for handmade goods at a local level

Our Solution

Flutter marketplace with Google Auth for zero-friction login
Firestore real-time database for crafter profiles and listings
Beautiful, responsive UI focused on discovery and browsing
GitHub-based team workflow for smooth collaboration

Architecture

Features

🔑

Google AuthZero-friction sign-in with persistent sessions

🛒

Marketplace BrowseDiscover local crafters and their work

⚡

Real-Time DataFirestore keeps listings updated live

📱

Responsive UISmooth Flutter interface on all screen sizes

🤝

Team CollaborationGitHub workflow with branching strategy

🏆

4th PlaceGDG-CIC Flutter Track recognition

Tech Stack

Flutter

Dart

Firebase Auth

Firestore

Google Sign-In

GitHub

Results & Impact

4th

Place GDG-CIC

100%

Real

Production App

Team

Collaboration

Screenshots

Demo Video

Mobile App · Uneeq Internship · 4.8 ★

GiT News

A live news app with category filtering, full-screen article view, and a 4.8-star rating achieved within the first month of launch.

▶ Watch Demo ⌥ GitHub ↓ Download APK

Problem & Solution

The Problem

Users want a fast, categorized news feed without clutter
Most news apps are slow and not mobile-first
No simple Flutter news app with live NewsAPI integration existed

Our Solution

Flutter app with clean, card-based news feed UI
Live NewsAPI integration with 6-category filter bar
Firebase backend for caching and user preferences
Full-screen immersive article reading experience

Architecture

Features

📰

Live News FeedReal-time articles via NewsAPI REST integration

🗂️

6 CategoriesGeneral, Entertainment, Health, Sports, Tech, Science

🖼️

Rich Article ViewFull-screen immersive reading with images

⚡

Fast LoadingOptimized API calls with Firebase caching

⭐

4.8 StarsTop-rated within first month of launch

🔄

Pull-to-RefreshAlways get the latest headlines instantly

Tech Stack

Flutter

Dart

NewsAPI

REST API

Firebase

HTTP Package

Results & Impact

4.8★

App Store Rating

1mo

Time to Rating

News Categories

Live

Real-Time Articles

Screenshots

Demo Video

Computer Vision · Embedded Systems · +30% Efficiency

Smart Parking

A computer vision system using OpenCV and Arduino to detect and recommend available parking spots in real time — improving utilization by 30%.

▶ Watch Demo

Problem & Solution

The Problem

Drivers waste time circling lots looking for empty spots
No real-time visibility into parking availability
Manual monitoring is labor-intensive and unreliable

Our Solution

Camera feed processed by OpenCV to detect spot occupancy
Arduino communicates occupancy status in real time
Visual overlay showing free / taken spots instantly
30% improvement in parking utilization efficiency

Architecture

Features

👁️

Computer VisionOpenCV detects occupied vs free spots from camera

⚡

Real-Time DetectionLive processing with instant updates

🔌

Arduino IntegrationHardware control for physical signaling

📊

+30% EfficiencyMeasurable improvement in utilization

🗺️

Visual OverlayColor-coded spots (green = free, red = taken)

🔧

Full HW/SW IntegrationEnd-to-end from camera to physical display

Tech Stack

Python

OpenCV

Arduino

Electronics

C++

Results & Impact

+30%

Parking Efficiency

Real

Hardware Product

Live

Real-Time Detection

Full

HW/SW Integration

Screenshots

Demo Video

Full-Stack · Flutter + Firebase + MySQL

HR Fleet System

A comprehensive HR Fleet Management mobile application with an optimized relational database model — boosting user engagement by 65%.

▶ Watch Demo ⌥ GitHub ↓ Download APK

Problem & Solution

The Problem

HR departments struggle to manage employee-vehicle assignments
Existing tools are desktop-only — no mobile access
Poor database design leads to data redundancy and slow queries

Our Solution

MySQL database with ERD+ for optimized relational modeling
Flutter mobile app with real-time CRUD via Firebase
+25% improvement in data organization efficiency
+65% increase in user engagement through mobile access

Architecture

Features

🚗

Fleet ManagementTrack all vehicles and assignments in one place

👥

Employee PortalHR data access with role-based views

🗄️

Optimized DBMySQL + ERD+ for efficient relational model

⚡

Real-Time CRUDFirebase-powered instant data updates

📊

+65% EngagementMobile drives far more usage than desktop

📱

Cross-PlatformFlutter runs on both iOS and Android

Tech Stack

Flutter

Dart

Firebase

MySQL

ERD+

SQL

Results & Impact

+65%

User Engagement

+25%

Data Efficiency

Live

Real-Time CRUD

Full

HR Feature Set

Screenshots

🔐 Security Audit · Live on Stores

EasyFast

Received the source code of a real-world Flutter delivery app, conducted a full security audit, patched critical vulnerabilities, and shipped it to Google Play and the App Store.

Problem & Solution

The Problem

A real Flutter delivery app needed a security review before going live
Critical vulnerabilities: exposed API keys, insecure data storage, unvalidated inputs
No proper authentication token handling or network security
App not yet published — missing store optimization and compliance

Our Solution

Full source code audit — static analysis + manual review of all data flows
Patched API key exposure, fixed token storage, added input validation
Implemented HTTPS certificate pinning and secure SharedPreferences
Prepared app bundles, store listings, and submitted to both stores

Architecture

Security Audit Findings

Vulnerability Found

API keys hardcoded in the source — any reverse engineer could extract and abuse them.

Fix Applied

Moved all keys to environment variables and backend proxy — zero secrets in client code.

Vulnerability Found

Auth tokens stored in plain SharedPreferences — accessible to any app with root access.

Fix Applied

Implemented Flutter Secure Storage with AES encryption for all sensitive credentials.

Vulnerability Found

No certificate pinning — app was vulnerable to man-in-the-middle attacks on API calls.

Fix Applied

Added SSL certificate pinning via the dio package with proper fallback handling.

Features

🔍

Full Code AuditStatic analysis + manual review of all data flows

🛡️

Vulnerability PatchingFixed API key leaks, insecure storage, bad auth

🔒

Certificate PinningSSL pinning against MITM attacks

📦

Store SubmissionSubmitted & published to Google Play + App Store

✅

Store CompliancePassed both stores' security and policy checks

📱

Flutter AppCross-platform delivery app, iOS & Android

Tech Stack

Flutter

Dart

Flutter Secure Storage

Dio + SSL Pinning

Security Analysis

Google Play Console

App Store Connect

Results & Impact

Critical CVEs Fixed

Stores Shipped

Live

Production App

100%

Store Compliance

Download the App

Screenshots