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oaslananka/README.md

👋 Hi, I'm Osman Aslan

🚀 Software & Embedded Systems Engineer | AI/ML Specialist | IoT Architect

Building innovative solutions that bridge the physical and digital worlds

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🎯 About Me

Passionate Software & Embedded Systems Engineer with 12+ years of experience crafting intelligent, scalable solutions

🔹 12+ years in Python development
🔹 10+ years in C/C++ and embedded systems
🔹 9+ years in AI/ML and data science
🔹 10+ years in IoT architecture and implementation

I specialize in creating end-to-end solutions that seamlessly integrate hardware and software—from microcontroller firmware and PCB design to cloud-based data pipelines and AI-driven analytics.

🌟 What I'm Working On

current_focus:
  - 🔭 Real-time safety monitoring systems for industrial environments
  - 🧠 AI-powered predictive maintenance solutions
  - 🌐 Scalable IoT architectures on cloud platforms
  - 📱 Computer vision applications for automation

specialties:
  - Hardware-Software Integration
  - Real-Time Data Processing
  - Edge Computing & AI
  - Industrial IoT Solutions

🛠️ Tech Stack & Expertise

🔥 Click to explore my technical arsenal

💻 Programming Languages

☁️ Cloud & DevOps

� AI/ML & Data Science

🔧 Embedded & Hardware

🗄️ Databases & Messaging

📊 Monitoring & Analytics

🚀 Featured Projects

🌟 Showcase of Innovation & Impact

🏗️ Earthquake Early Warning System

Multi-channel sensor network with ML-based seismic classification

Tech Stack: Python TensorFlow IoT Sensors Real-time Processing

🔹 Machine learning seismic event classification
🔹 Multi-sensor data fusion and analysis
🔹 Live alert pipeline and notification system
🔹 Sub-second response time architecture

🌱 Smart Agriculture Platform

AI-powered crop monitoring and disease detection

Tech Stack: Computer Vision OpenCV TensorFlow Drone Integration

🔹 Automated plant disease detection
🔹 Crop ripeness assessment algorithms
🔹 Drone-based image analysis pipeline
🔹 Real-time agricultural insights dashboard

⚙️ Predictive Maintenance System

Industrial IoT with edge computing and anomaly detection

Tech Stack: Edge Computing Time Series Analysis AWS IoT ML Models

🔹 Edge-based data collection and processing
🔹 Anomaly detection and pattern recognition
🔹 Predictive failure analysis models
🔹 Real-time manufacturing alerts

💰 AI Crypto Trading Bot

Intelligent market prediction and automated trading

Tech Stack: Python Machine Learning API Integration Real-time Data

🔹 Real-time market data analysis
🔹 Predictive trading algorithms
🔹 Automated execution via REST APIs
🔹 Risk management and portfolio optimization

🏠 IoT Home Automation

Smart home ecosystem with mobile integration

Tech Stack: IoT Devices Mobile Apps Cloud Integration Real-time Control

🔹 Multi-device smart home coordination
🔹 Mobile app for remote control
🔹 Cloud-based monitoring and analytics
🔹 Energy optimization algorithms

📹 Real-Time Video Processing

Edge-based object detection and tracking

Tech Stack: OpenCV TensorFlow Embedded Systems Real-time Processing

🔹 Object detection and classification
🔹 Multi-object tracking algorithms
🔹 Embedded device optimization
🔹 Low-latency video processing pipeline

� GitHub Analytics

⏱️ Weekly Development Breakdown

WakaTime Stats

🌐 Let's Connect & Collaborate

🤝 Open to exciting opportunities and innovative projects!

LinkedIn GitHub

Snake animation

⭐ Star my repositories if you find them interesting!

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  1. Airsim101_Yolov10 Airsim101_Yolov10 Public

    Autonomous Vehicle Control System using A* pathfinding, sensor data integration, and YOLO object detection in AirSim.

    Python 17 4

  2. CamStreamAndroidToPython CamStreamAndroidToPython Public

    This repository contains an Android application for live streaming camera footage via RTSP and a Python script for processing the stream using OpenCV.

    Kotlin 5 2

  3. EQ_Magnitude_Estimation_VIT EQ_Magnitude_Estimation_VIT Public

    This repository contains a comprehensive project for real-time earthquake detection and magnitude estimation using Vision Transformer (ViT). The project processes 3-axis accelerometer data from mul…

    Python 2

  4. BasicVisualSynthesis BasicVisualSynthesis Public

    This project aims to perform image analysis and generate detailed commentary by integrating YOLO-based object detection with the Deepseek LLM using a RAG (Retrieval Augmented Generation) approach.

    Python 3

  5. EarthquakePredictionML EarthquakePredictionML Public

    A Machine Learning Project for Predicting Earthquake Magnitudes and Occurrences example.

    Python 2

  6. Filytics Filytics Public

    Filytics is a command-line tool for analyzing file and folder statistics. It provides detailed reports on file counts, line counts, file sizes, and extension-level insights.

    Python