Yoni Tribber

Development of an AI-based chatbot using the RAG method at Catur Insan Cendekia University to enhance fast and contextual information access.

Built an AI chatbot using RAG and LLMs to help health researchers access accurate information during an internship at PT. Inti Utama Solusindo.

This project uses YOLOv11 to detect palm trees with numbered boxes and classify apples by color, saving cropped images accordingly.

This project implements an image classification system using a pre-trained Vision Transformer (ViT) from Hugging Face, fine-tuned to classify waste images into six categories

An App-Based Questionnaire Marketplace to Help Gather Data for Specific Targets.

Assetify uses data and machine learning to accurately predict housing prices in Jakarta amid fluctuating market factors like location, facilities, and economic conditions.

The Career Center Information System at Catur Insan Cendekia University is a web-based application built with Laravel (PHP) and MySQL, featuring two main user roles.

The Task Management App backend is a FastAPI-based, Dockerized API using JWT and Supabase for secure and scalable task and user management.

QM Studio Photo is a Flutter-based mobile app that enables easy photo studio booking with GetX for state management and Firebase (including Google Auth) for backend services.