Selected
Works

Green Arabica Coffee Bean Classification (Accepted for Publication)

Green Arabica Coffee Bean Classification (Accepted for Publication)

A research project on green Arabica coffee bean classification using a CNN–Transformer hybrid model, accepted for publication and currently awaiting release.

Indonesia Green Arabica Coffee Bean Classification Web

Indonesia Green Arabica Coffee Bean Classification Web

A web application for classifying Indonesian green Arabica coffee beans using a hybrid deep learning model, serving as a demo for research work.

Fungal Infection Classification in Apple Leaves

Fungal Infection Classification in Apple Leaves

A research project comparing CNN and CNN with GLCM features for classifying fungal infections in apple leaves.

Traffic Sign Classification

Traffic Sign Classification

A traffic sign classification system using both machine learning and deep learning approaches, including CNN and transformer-based models.

Movie Mate

Movie Mate

A mobile application for managing and exploring movie recommendations, built with Java and Firebase.

Smart Vision

Smart Vision

A safety helmet detection system using YOLO for object detection, designed to improve worker safety in industrial environments.

Hate Speech Sentiment Analysis

Hate Speech Sentiment Analysis

A machine learning and deep learning project focused on detecting hate speech and analyzing sentiment using classical ML models and LSTM-based architectures.

Preper

Preper

A web platform that connects mentors and mentees, featuring session scheduling, reviews, and an admin panel for user management.

Beeraile

Beeraile

A mobile application for learning Braille, developed using React Native and Azure AI services for the BINUS Ă— Microsoft AI4A Hackathon.

Obesity Prediction

Obesity Prediction

A machine learning project for predicting obesity levels using multiple classification models such as Logistic Regression, Random Forest, SVM, and XGBoost.

Hi-Toyz

Hi-Toyz

A toy store profile website built as a Human-Computer Interaction course project using HTML, CSS, and JavaScript, without backend functionality.