Designed and built a semi-autonomous robot to collect dry waste while actively avoiding obstacles. Led the team at AtomQuest 2025 National Robotics Competition, achieving first runner-up position. Integrated ESP32 microcontroller with ultrasonic and IR sensors, and motor driver circuits for guided navigation.
The full 3D CAD design for this robot is available. Since raw .STEP files cannot be natively rendered directly in the browser, you can download the 36 MB engineering file below to view and edit it in your preferred CAD software like Fusion 360 or SolidWorks.
Download .STEP FileSemi-autonomous navigation with obstacle avoidance
ESP32-based control system with sensor integration
Ultrasonic and IR sensor array for environment mapping
Optimized algorithm for obstacle avoidance and line following
25% improvement in navigation accuracy through calibration
Motor driver circuits for precise movement control

Full-featured academic management platform built with TypeScript for streamlining student and facult...

Alumni-student networking platform with mentorship pairing, alumni directory, job postings, discussi...

Production-ready Next.js platform for smart waste management with live map tracking, geolocation rou...