Projects

Verdicto

Verdicto is a Laravel Blade-based web application that connects users with professional lawyers. It supports user registration with roles (client and lawyer), chatbot, profile editing, article listings, lawyer search functionality, and informational pages like testimonials, About Us, and FAQ.

Role: Fullstack Developer, Project Manager

Tech Stack: Laravel, Tailwind CSS, Vite, JavaScript, MySQL, Gemini API

LiberAI

LiberAI is an AI-powered book recommendation system that suggests books based on genre, author, and description using content-based filtering. Built with pandas, scikit-learn (TF-IDF Vectorizer, TruncatedSVD, K-Means Clustering, and Cosine Similarity), and deployed via Streamlit.

Role: Fullstack AI/ML Developer, Project Manager

Tech Stack: Python, Streamlit

AID-R

AID-R is an AI detection system for diabetic retinopathy using retina image recognition by utilizing Convolutional Neural Network (CNN) to analyze the image by utilizing EfficientNetB0 and DenseNet121 models. AI categorizes the diabetic retinopathy condition into 5 stages: No DR, Mild DR, Moderate DR, Severe DR, and Proliferative DR. The program is presented using discord.py and tkinter.

Role: AI Developer

Tech Stack: Python

CornCare

CornCare is a deep learning project that detects corn leaf diseases using computer vision, classifying leaves into Healthy, Rust, and Blight categories. Built with PyTorch using ResNet50 as the primary model for deployment (with comparisons to DenseNet121 and EfficientNetB0), it leverages transfer learning, data augmentation, and optimization to improve accuracy. The model is deployed via Streamlit, providing an interactive web app for real-time disease detection.

Role: Fullstack AI/ML Developer

Tech Stack: Python, Streamlit

Elaeis

Elaeis is an application that provides a platform for buying and selling agricultural products in international scale. We aim in helping local (Indonesian) farmers to sell their products to the international market.

Role: UI/UX Designer, Project Manager

Tech Stack: Figma

PregnaCare

PregnaCare is an integrated AI & IoT application for maternal health risk prediction, specifically a device for early detection of pregnancy abnormalities using sensors to track heart rate, SpO2, blood sugar, and body temperature. The system collects data through a MAX30102 (heart rate & SpO2) and DS18B20 (temperature), while blood sugar is estimated using regression on heart rate and SpO2 data. The results are displayed on a website, featuring AI-based pregnancy condition predictions, a history chart, and a chatbot for pregnancy-related questions. The hardware is powered by ESP32 components.

This project advanced to the Semi-Final stage in the Samsung Innovation Campus Batch 5 competition in 2023-2024, organized by Skilvul x Samsung.

Role: Graphic Designer, Hardware Specialist

Tech Stack: Figma, Python, ESP32, MAX30102, DS18B20

Nereid Container Co.

Nereid Company is a container transportation company that uses a Database Management System (DBMS) to manage various types of data, including ship, port, container, crew, route, etc. The system is designed to support daily operations such as ship itinerary scheduling, container inventory maintenance, and real-time shipment tracking. As a database developer, I developed a database management system for a container transportation company. I oversaw team coordination and system design for efficient data handling.

Role: Database Developer, Project Manager

Tech Stack: MySQL, Excel

DiamondCut Motors

DiamondCut Motors is a Human-Computer Interaction project. As a Front-End Developer and UI/UX Designer for the DiamondCut Motors Human-Computer Interaction project, I designed and developed responsive user interfaces using HTML, CSS, and JavaScript while translating Figma prototypes into functional web pages. My focus was on creating an intuitive and visually appealing experience aligned with HCI principles.

Role: Front-end Developer, UI/UX Designer

Tech Stack: HTML, CSS, JavaScript, Figma