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The Aarohan Project focuses on developing an advanced autonomous rover for Moon exploration. This project involves autonomous navigation using LiDAR and camera sensors, robust mobility systems, RF communication, and a 6-degree-of-freedom robotic arm for object. It aims to enhance obstacle avoidance, mobility, and task efficiency in complex terrains

License: GNU General Public License v2.0

CMake 10.91% C 7.98% C++ 26.21% Makefile 48.06% TypeScript 0.07% Python 2.65% Shell 3.72% PowerShell 0.39%
autonomous-robots c-plus-plus c-programming lidar moon-rover obstacle-avoidance path-planning python3 real-time-systems rf-communication

moon-rover's Introduction

Welcome to My GitHub Profile!

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๐Ÿ‘‹ About Me

Hi, I'm Akhil Rai, a highly motivated BTech ECE undergraduate at Sardar Vallabhbhai National Institute of Technology, Surat. With a passion for robotics and software development, I specialize in creating robust and scalable applications and leading teams to develop cutting-edge autonomous systems. My expertise spans multiple programming languages and technologies, enabling me to deliver innovative and efficient solutions in robotics, machine learning, and software engineering.

๐Ÿ“ซ Contact Me

Email LinkedIn Stack Overflow ResearchGate

๐Ÿ“ Location: Surat, Gujarat, India
๐Ÿ“ž Phone: +91 9971900993

๐Ÿ”ง Technical Skills

Programming Languages

Java Python C++ C JavaScript SQL HTML5 MySQL

Robotics & Automation

  • Robot Operating System (ROS, ROS2)
  • MoveIt-2 Framework
  • Gazebo Simulation
  • Kinematics, Trajectory Planning, Autonomous Algorithms

Machine Learning & Computer Vision

OpenCV TensorFlow PyTorch

  • Computer Vision
  • Object Recognition

Hardware & Embedded Systems

STM32 Arduino Raspberry Pi

Cloud & DevOps

Google Cloud GitLab

Tools & Technologies

Git Unix Linux Ubuntu Windows

Languages

  • Hindi (Native or Bilingual)
  • English (Full Professional)
  • Sanskrit (Limited Working)
  • German (Elementary)

๐Ÿ† Highlighted Achievements

International Rover Challenge 2024

Top 17 Internationally
Led a team to secure 17th place in a competition involving over 1,000 students, demonstrating exceptional leadership and technical skills.

ISRO Robotics Challenge 2024

Top 20 Nationally
Led a team of 10, achieving a top 20 ranking nationally out of over 5000 participants by designing and developing an autonomous navigation algorithm for a rover and 6-DOF manipulator.

GUJCOST - Robofest 3.0

1st Place Nationally
Led a team of 5 to design and develop two award-winning rovers, showcasing superior robotics engineering and autonomous navigation skills.

Google Winter of Code 2024

Top 4 Regional
Designed a responsive Sting Art website using React, Node.js, TypeScript, Appwrite, MongoDB, and Express.

Smart India Hackathon

National Finalist
Developed a pioneering Flutter and Dart application using AI/ML, OpenCV, and TensorFlow for rapid crop disease diagnosis.

๐Ÿ“˜ Education

Bachelor of Technology (BTech) in Electronics and Communications Engineering

Sardar Vallabhbhai National Institute of Technology, Surat
CGPA: 8.31 (Expected Graduation: June 2026)

Intermediate Science (PCM)

Kendriya Vidyalaya
Percentage: 95.2 (2022)

High School

St. Francis School, Indirapuram
Percentage: 93.6 (2020)

๐Ÿ“œ Certifications

  • Google Cloud Computing Foundations Certificate (2024)
  • Machine Learning Specialization - Talent Battle (2024)

๐Ÿ’ป Key Projects

Autonomous Robotic Arm

Developed a sophisticated robotic arm with vision-based control capabilities, integrating advanced hardware and software for real-time object manipulation.
Technologies Used: ROS, ROS2, Python, Computer Vision, MoveIt-2, STM-32
GitHub Link

Martian Rover

Engineered an autonomous rover for Martian exploration, focusing on seamless communication and efficient navigation.
Technologies Used: ROS, Lidar, Autonomous Navigation, Raspberry Pi, Arduino
GitHub Link

Live Website-GUI

Developed a web application for real-time sensor data from rovers and robotic arms, integrating live camera feeds using JavaScript and Python.
Technologies Used: JavaScript, Python, GCP
GitHub Link

Object Recognition

Implemented Python code using OpenCV for real-time arrow detection, achieving 90% accuracy.
Technologies Used: Python, OpenCV
GitHub Link

๐ŸŒฑ Continuous Learning

I am dedicated to staying at the forefront of robotics, machine learning, and software development, continuously enhancing my skills and knowledge to keep up with the latest advancements in technology.

๐Ÿค Let's Collaborate!

I am enthusiastic about collaborative projects and research opportunities in robotics, software development, and related fields. Feel free to reach out to me through email or LinkedIn.

โญ๏ธ From AkhilRai28

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