Cooperative Training at Smart Methods

This repository contains the projects I worked on during my cooperative training at Smart Methods. Throughout the training, I gained hands-on experience in various technical fields, including DevOps, Linux system administration, robotics, and machine learning. Below is an overview of the key projects and skills I developed.

Key Projects

1. System Development with Linux & DevOps

   • Implemented system management strategies and automation using continuous integration/continuous deployment (CI/CD) pipelines.
   • Gained proficiency in using Linux for server administration and process optimization.

2. Robotics Design and Programming (Arduino & ROS)

   • Developed robotic systems using Arduino for controlling robotic arms and implementing movement algorithms.
   • Worked on ROS1 and ROS2 projects, including:
     • Turtlesim simulation for learning ROS basics.
     • MoveIt! integration to control robotic arms with precision.

3. Artificial Intelligence & Machine Learning

   • Participated in AI-driven projects involving data cleaning, analysis, and predictive modeling.
   • Applied machine learning algorithms to solve real-world problems, including:
     • Linear regression models for predictive analytics.
     • Decision trees for classification tasks.

Skills Acquired

• DevOps & Linux Administration: CI/CD pipelines, automation, system monitoring.
• Robotics: Arduino programming, ROS1/ROS2, robotic arm control, MoveIt!.
• Machine Learning: Data analysis, predictive modeling, supervised learning algorithms.
• Programming Languages: Python, C++, Bash scripting.

Repository Contents

• Robotics Projects: Code and documentation for Arduino and ROS-based robotics projects.
• AI & ML Projects: Data science projects and notebooks detailing machine learning algorithms and their applications.
• DevOps Scripts: Automation scripts and configurations for Linux system administration.