🤖 Underwater Remotely Operated Vehicle v2.0

A compact and efficient Underwater Remotely Operated Vehicle (ROV) designed for search and rescue missions in turbulent water bodies like the Ganga River. This system combines real-time video monitoring and intelligent object detection to support underwater navigation and victim identification.

🌍 Social Impact & SDG Alignment

This project addresses real-world humanitarian needs and supports multiple United Nations Sustainable Development Goals (SDGs):

• ✅ SDG 3: Good Health and Well-being
  Prevents drowning fatalities through faster underwater detection in rescue operations.

• ✅ SDG 6: Clean Water and Sanitation
  Adaptable for underwater inspection of water bodies to support environmental monitoring.

• ✅ SDG 13: Climate Action
  Contributes to climate resilience through flood/disaster recovery and mitigation tools.

🎯 This is a high-impact social innovation project driven by sustainability, safety, and community well-being.

🏆 Achievements

• 🥇 Winners – IEEE R10 International Robotics Competition (Tokyo, Japan)
  Presented the ROV v2.0 designed for search and rescue in turbulent water bodies like the Ganga River.

• 🥈 Runners-up – PALS innoWAH! 2024, IIT Madras (IITM-PALS)
  Among 50+ teams selected across India. Developed ROV v1.0 focused on disaster response and recovery in waterlogged areas.

🌟 Key Features

• 🎥 Real-time underwater video feed
  
• 🧠 Machine learning-based object detection
  
• 🛠️ Custom CAD design and FEA-tested frame
  
• 💡 Integrated lighting for murky environments
  
• 🤿 Tested in real-world turbulent waters
  

📁 Repository Structure

• Documentation.zip – Project report and workflow
  
• Design_3D_Models.zip – Complete 3D CAD files (STL + source)
  
• Ansys_Report.zip – Structural and fluid simulation results
  
• New_ROV_Working_Video.zip – Live footage of version 2.0
  
• Old_ROV_Working_Video.zip – Early stage test video
  
• TESTING_VIDEOS.zip – Controlled environment test results
  
• PPT.zip – Final presentation deck
  

🛠️ Tech Stack

• Fusion 360 / SolidWorks – Mechanical design
  
• ANSYS – Fluid and stress simulations
  
• Python (YOLO) – Real-time object detection
  
• BlueOS + Pixhawk – Control system
  
• ROS2 Humble – Robot middleware and simulation
  
• Git LFS – For managing large files efficiently
  

🙌 Acknowledgments

Special thanks to mentors and collaborators who supported the development and testing phases of this project.