Atharva Pathak

B.Tech graduate in Robotics and Automation with strong hands-on experience in embedded systems, robotics, sensors, and control logic. Designed and implemented real-world hardware projects including a brain-controlled robotic arm and a particulate matter extractor using microcontrollers, actuators, and sensor integration.

Embedded Systems | EEG | Arduino | Robotics

• Developed a robotic arm controlled using EEG brain signals through Brain–Computer Interface (BCI) technology
• Integrated EEG sensors to capture neural signals and processed them to detect user intent (focus/blink)
• Implemented real-time motor control using Arduino and servo motors
• Designed signal-to-motion mapping for assistive and rehabilitation applications
• Demonstrated reliable and responsive control for practical human–machine interaction

Sensors | Control Systems | Hardware Design

• Designed and built a low-cost, portable particulate matter (PM) extraction system
• Integrated fan, filter, and sensor modules to capture and reduce airborne particulate matter
• Monitored PM concentration and system performance using sensor feedback
• Achieved up to 90% reduction in particulate matter across controlled environments
• Focused on energy efficiency, portability, and public health applications

Computer Vision | OpenCV | YOLOv5

• Developed a real-time vehicle detection system using OpenCV and deep learning
• Applied image processing techniques such as background subtraction and edge detection
• Achieved 85% detection accuracy under varying lighting and traffic conditions
• Demonstrated application potential for intelligent traffic and surveillance systems

• Machine Learning A-Z — Udemy
• Python for Computer Vision with OpenCV and Deep Learning — Udemy
• Python Essentials 1 - Cisco