Gung Febrian | Portofolio

Project Arsenal

A categorized collection of my engineering milestones.

9

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0

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28

Technologies

2025

Latest

23, December

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Green Rover - Autonomous Trash Detection

Green Rover - Autonomous Trash Detection

Autonomous AI object detection on ESP32 and Raspberry Pi 4

14.5 FPS on deviceDual control architecture

IoTESP32Raspberry Pi 4

T Moves AI Pull Up Tracker

T Moves AI Pull Up Tracker

T Moves is a professional fitness application that achieves ninety percent detection accuracy through full body computer vision. By integrating real time movement analysis and advanced biomechanical validation, this tool ensures every repetition meets the highest standards of form and performance.

FlutterComputer VisionML Kit

Thermal Chamber - IoT Precision Climate Control

Thermal Chamber - IoT Precision Climate Control

A dualaction incubation system implementing Hysteresis logic and a real time Web Dashboard for stable thermal management.

Sentinel Avoider - Intelligent Autonomous Navigation

5-sensor autonomous obstacle avoidance

95% navigation accuracy180° sensor coverage

RoboticsESP32C++

SKIPY - 3 DOF Robotic Arm

SKIPY - 3 DOF Robotic Arm

A 3 DOF robotic arm that enables intuitive motion programming through a teach and repeat web interface, allowing users to control and sequence movements directly from a browser without complex setup.

MONSTA CAN - Gamified IoT Trash can

MONSTA CAN - Gamified IoT Trash can

An interactive IoT device that transforms waste disposal into a gamified experience with automated mechanics and remote web monitoring.

Interactive 'Higher or Lower' Game

OpenCV real-time card recognition

Computer VisionPythonOpenCV

SignLens - AI Accessibility Interface (Upcoming.....)

A real-time video interpretation tool that translates Sign Language hand gestures into text and speech using browser-based computer vision.

Artificial IntelligenceTensorFlow.jsReact

Hydra - Distributed WebGPU Grid (Upcoming....)

WebGPU distributed computing network

Distributed SystemsWebGPUTypeScript