AgriFlow: Autonomous Precision Crop Rover
An agricultural field robot utilizing multispectral computer vision for real-time plant pathology diagnosis and targeted micro-spraying with 94.2% classification accuracy.
The Consciousness Engine is an interactive 3D universe showcasing autonomous robotics, published academic research, and engineering systems.
Shaurya Gupta is a final-year robotics engineering student at Cardiff Metropolitan University. His engineering work bridges physical hardware, embedded control, ROS2, and computer vision with ethical artificial intelligence.
An agricultural field robot utilizing multispectral computer vision for real-time plant pathology diagnosis and targeted micro-spraying with 94.2% classification accuracy.
Embedded computer vision pipeline optimizing real-time object classification and pathfinding under difficult low-light agricultural conditions.
Dual-band optical and radio frequency corridor management system that pre-empts traffic signals for emergency ambulances, cutting junction clearance times.
Ultra-low-power telemetry collar transmitting temperature, heart rate, and movement telemetry over a 15km LoRaWAN mesh network.
Edge AI sensor node detecting acoustic wing-beat patterns and spectral indicators to mitigate crop losses without indiscriminate chemical spraying.
Contributed to solar EPC system designs, internal workflow automation with emerging AI, and early-stage development and mechanical prototyping of a motorized solar panel cleaning robot.
Mentoring engineering peers across robotics architectures, microcontroller programming, and technical academic assignments at Cardiff Metropolitan University.
Email: shaurya@shauryagupta.co.in | LinkedIn: https://www.linkedin.com/in/shaurya-gupta-245389237 | GitHub: https://github.com/shaurya-g123