About Me



  • Full Name:Belgacem Dawser
  • Phone:+216 28 378 124
  • Email:dawserbelgacem122@gmail.com
  • Location:Mahdia, Tunisia
  • GitHub:@doosr
  • Availability:Open for Freelance

Hello There!

I'm Belgacem Dawser, a passionate Full-Stack Developer and IoT Solutions Architect currently pursuing my Master's degree in Internet of Things (IoT) at ISET Mahdia.

With expertise spanning Embedded Systems, AI/ML Engineering, and Modern Web Development, I specialize in creating cutting-edge solutions for Industry 4.0. My portfolio includes successful projects in predictive maintenance, real-time IoT monitoring systems, and intelligent AI applications.

I excel at building scalable full-stack applications using React, Node.js, and MongoDB, while also developing sophisticated IoT ecosystems with ESP32, Raspberry Pi, and MQTT protocols. My AI/ML projects leverage Python, TensorFlow, and Computer Vision to deliver smart, data-driven solutions.

What I Do Best:

  • 🚚 Industrial IoT Innovation - Smart fleet management systems for Industry 4.0
  • 🌐 Full-Stack Development - Modern web applications with React & Node.js
  • 🧠 AI/ML Engineering - Intelligent applications with 95%+ accuracy
  • 📱 Mobile & AR Development - Flutter & Unity applications

I'm dedicated to revolutionizing logistics and industry with smart, connected digital products.

My Portfolio & Experience

  • Featured Projects

  • Fleet Manager - Système de Télémesure IoT 🚚

    Innovation & Gestion de Flotte ISUZU – 2025-2026

    Plateforme complète de monitoring et de gestion pour chariots élévateurs intégrant la télémesure en temps réel, le tracking GPS et l'analyse Edge AI.

    Résultats Clés :

    • ✅ Dashboard Glassmorphism : Monitoring Temp, Huile, Fuel, Trans
    • ✅ App Mobile Flutter : Accès natif aux données de terrain
    • ✅ Edge AI : Détection préventive d'anomalies moteur
    • ✅ CI/CD Automatisé : Build & Deploy via GitHub Actions

    Technologies : React (Vite), Flutter, ESP32, C++, Node.js, MQTT, InfluxDB, GitHub Actions

    📖 Voir le Projet sur GitHub →

  • CyberScam Sentinel - Scambait Defence Tool

    Plateforme de Cybersécurité & IA – 2025-2026

    Solution de défense avancée pour scambaiters intégrant l'IA pour l'analyse des menaces en temps réel et des outils de reconnaissance réseau (IDS, Honeypot, Nmap).

    Résultats Clés :

    • ✅ Sentinel Copilot PRO : Analyste IA Niveau 3 (Gemini/Claude)
    • ✅ IDS Intelligent : Latence < 100ms et détection d'anomalies
    • ✅ Honeypot Manager : Déploiement automatisé de serveurs leurres
    • ✅ Arsenal de Reconnaissance : Intégration de 100+ outils Nmap

    Technologies : Electron, React, TypeScript, Vite, Python, OpenRouter AI, Nmap, AES-256

    📖 Voir le Projet sur GitHub →

  • SignLanguage - Traduction Langue des Signes par IA

    Projet d'Innovation & IA – 2025-2026

    Application mobile révolutionnaire pour la traduction bidirectionnelle et en temps réel de la langue des signes (FR/EN/AR) en texte et parole, fonctionnant 100% hors-ligne.

    Résultats Clés :

    • ✅ Précision de 90.3% sur les lettres et 78.5% sur les mots
    • ✅ Latence ultra-faible (< 75ms) et performance de 24 FPS
    • ✅ Mode Inverse : Conversion Voix/Texte en gestes animés
    • ✅ Intégration IoT : Support caméra externe via ESP32-CAM

    Technologies : Flutter, MediaPipe, TensorFlow Lite, Python, ESP32-CAM, OpenCV

    📖 Voir le Projet sur GitHub → • 🎥 Démo en Direct →

  • SmartPlant IA - Système de Monitoring Intelligent

    Projet Personnel & Innovation Agricole – 2025-2026

    Système complet de monitoring pour l'agriculture intelligente utilisant l'IA pour prédire les besoins en eau et détecter les maladies des plantes en temps réel via ESP32-CAM.

    Résultats Clés :

    • ✅ Taux de précision de 96% dans le diagnostic des maladies via Edge AI
    • ✅ Réduction de 30% des ressources hydriques consommées
    • ✅ Dashboard interactif en temps réel (React/Node.js)
    • ✅ Alertes intelligentes et autonomie énergétique solaire

    Technologies : ESP32-CAM, TensorFlow Lite, Python, React, Node.js, MQTT, InfluxDB

    📖 Voir le Projet sur GitHub →

  • IoT Predictive Maintenance Platform with Edge AI & AR

    Master's Thesis Project – Industry 4.0 – 2024-2025

    Real-time predictive maintenance system with Edge Computing AI and Augmented Reality for industrial equipment monitoring.

    Key Achievements:

    • ✅ 98.5% AI accuracy in anomaly detection (8.5% above target)
    • ✅ 152ms total latency (24% faster than 200ms goal)
    • ✅ 99.9% system availability over 48h testing
    • ✅ First AR solution for industrial maintenance
    • ✅ 66% latency reduction vs cloud-based solutions

    Technologies: Python, Node.js, SVM, ESP32, MQTT, Raspberry Pi, Three.js (3D Dashboard), Unity 3D (AR Mobile App), InfluxDB, Socket.io

    Innovation: Hybrid Edge/Cloud AI architecture with real-time 3D visualization and cognitive AI recommendations

    📖 View Full Documentation →

  • AlphaCare - Smart Baby Safety Bracelet

    Bachelor's Thesis & Internship at ISIMA – 2023-2024

    Developed a wearable IoT bracelet for real-time baby health monitoring with AI-powered anomaly detection and cry pattern recognition.

    Features: Real-time vital signs monitoring (heart rate, SpO2, temperature), GPS location tracking, cry detection AI, automated emergency alerts, mobile dashboard (Flutter)

    Technologies: ESP32-CAM, Raspberry Pi, Python, ML (Audio Classification), Flutter, React, Node.js, MongoDB, WebSocket

    Results: 95% accuracy in cry pattern recognition, 24h+ battery life, secure encrypted data transmission

    📖 View on GitHub →

  • Digital Watch - IoT Embedded System

    Mini Project – ISET Mahdia – 2024-2025

    Development of a feature-rich digital watch using ESP32 microcontroller with Arduino framework. Includes time display, stopwatch, alarm system, and LED visual indicators.

    Technologies: ESP32, Arduino IDE, C++, Real-time Clock (RTC), LEDs, LCD Display

    Features: Digital clock with auto-sync, stopwatch with lap timing, customizable alarms, battery-optimized design

    📖 View on GitHub →

  • Client Management System - Full-Stack Web Application

    Personal Project – 2024

    Designed and implemented a responsive web-based client management system with full CRUD operations. Features include user authentication, client records management, search functionality, and cloud deployment for remote accessibility.

    Technologies: Node.js, Express.js, MongoDB, HTML5, CSS3, JavaScript, RESTful API, Cloud Deployment

    Features: Real-time updates, secure authentication, responsive design, data export functionality

    📖 View on GitHub →


  • Education

  • Master's Degree in Internet of Things (IoT)

    ISET Mahdia – 2024-2026 (In Progress)

    Specialization: Internet of Things, Industry 4.0, Edge Computing, AI/ML Integration

    Focus Areas: Predictive Maintenance, Smart Systems, Real-time Analytics, Cloud & Edge Architecture

    Thesis: IoT Predictive Maintenance Platform with Edge AI & Augmented Reality

  • Bachelor's Degree in Embedded Systems Engineering

    ISIMA Mahdia – 2021-2024

    Specialization: Embedded Systems, Microcontrollers, Real-time Systems

    Graduation Project: AlphaCare - Smart Baby Monitoring System

  • Baccalauréat in Science & Technology

    Lycée Abou Kacem Chebbi Chebba – 2021

    Specialty: Sciences et Techniques

Technical Expertise

Comprehensive skill set across multiple domains with proven project success

💻 Programming Languages

Core development languages & frameworks

JavaScript / Node.js95%

Python90%

HTML5 / CSS395%

C / C++85%

Java80%

C# (Unity)75%

🚀 Technologies & Platforms

Specialized tools & frameworks

IoT Development (ESP32/Arduino)90%

Raspberry Pi & Edge Computing90%

AI/ML (TensorFlow, Scikit-learn)85%

React & Modern Web Frameworks90%

Flutter & Mobile Development80%

Cloud & DevOps (Docker, Git)85%

25+

Projects Completed

15+

IoT Systems Deployed

50+

Satisfied Clients

4.9/5

Average Rating

Get In Touch

Let's discuss your project and build something amazing together!