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GUELORD-MWENDERWA/README.md

Guelord Mwenderwa

Embedded Systems Engineer | IoT Specialist | AI Developer

Passionate engineer specializing in embedded systems and artificial intelligence, combining electronics, firmware, and backend to create robust and scalable solutions. Expert in IoT, real-time systems, and intelligent automation.


Technical Expertise

Core Competencies

  • Embedded Systems : Arduino, ESP32, Real-time Microcontrollers
  • IoT & Home Automation : Sensors, Wireless Communication (RF 433MHz, RFID, WiFi)
  • Artificial Intelligence : ML, Computer Vision, Data Processing
  • Access Control : RFID, Biometrics, Hardware Authentication
  • Telemetry & Monitoring : Data Acquisition, Storage, Visualization
  • Automation : Smart Homes, Intelligent Systems, Energy Control

Tech Stack

Embedded Systems & Electronics

C++ Arduino ESP32 STM32 PlatformIO

Backend & Web Development

Python Django Flask JavaScript HTML5 CSS3

Artificial Intelligence & Data

TensorFlow Scikit-learn OpenCV NumPy Pandas

Tools & Workflow

Git GitHub Linux

Key Projects

1. Intelligent Home Automation System

Technology : ESP32 | Languages : C++, PlatformIO

  • Complete computer room management system
  • Integrated RFID access control
  • Real-time energy monitoring
  • Intelligent lighting and security
  • Web control interface

Repo : SYSTEME_DOMOTIQUE-_SALLE-_NFORMATIQUE


2. Artificial Intelligence & Computer Vision

Technology : Python | ML Framework : TensorFlow/Scikit-learn

  • Academic LSI-IA project: Automated visual identification
  • Image classification via neural networks
  • Complete pipeline: preprocessing → learning → prediction

Repos :


3. RFID Access Control System

Technology : Arduino | Languages : C++

  • Smart lock with RFID authentication
  • Biometric attendance system
  • Access database management
  • Google Sheets and SQL synchronization

Repos :


4. RF 433MHz Wireless Communication

Technology : Arduino | Languages : C++

  • 4-Position RF Transmitter/Receiver
  • Wireless communication protocols
  • Remote device control

Repos :


5. Web Applications & Management

Technology : Python, Django, HTML/CSS/JavaScript

  • Cash register management system (SGIS)
  • ESP32 web control interface
  • Academic grade calculator
  • Biometric web interface

Repos :


Typical System Architecture

┌─────────────────────────────────────────────────┐
│        SENSORS & HARDWARE LAYER                 │
│  (RFID, Biometrics, Temperature, RF 433MHz)     │
└────────────────────┬────────────────────────────┘
                     │
┌────────────────────▼────────────────────────────┐
│    EMBEDDED FIRMWARE (Arduino/ESP32)            │
│  - Signal Processing                            │
│  - Real-time Control                            │
│  - Local Intelligence                           │
└────────────────────┬────────────────────────────┘
                     │
┌────────────────────▼────────────────────────────┐
│    COMMUNICATION LAYER                          │
│  (WiFi, RF 433MHz, Serial, Web API)             │
└────────────────────┬────────────────────────────┘
                     │
┌────────────────────▼────────────────────────────┐
│    BACKEND & DATA PROCESSING                    │
│  (Python, Django, Web Interface, Databases)     │
└────────────────────┬────────────────────────────┘
                     │
┌────────────────────▼────────────────────────────┐
│    MONITORING & INTELLIGENCE                    │
│  (Dashboards, Alerts, AI Analytics)             │
└─────────────────────────────────────────────────┘

📊 GitHub Statistics

GitHub Stats Top Languages



GitHub Streak

Achievements

  • Design of complete embedded systems (hardware + firmware)
  • Multi-sensor integration with real-time processing
  • Implementation of security protocols (RFID, biometrics)
  • Development of monitoring and control interfaces
  • Academic and professional AI/ML projects
  • Detailed technical documentation and maintainable source code

Connect With Me

LinkedIn GitHub Email


About My Projects

Each project in my portfolio represents a comprehensive approach:

  1. Problem Definition : Identifying real-world needs
  2. System Architecture : Modular and scalable design
  3. Robust Implementation : Production-ready code
  4. Complete Documentation : Detailed READMEs and technical diagrams
  5. Optimization : Performance, security, maintainability

Last Updated : May 2026

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