
NeuraScan - Brain MRI Tumor Segmentation
NeuraScan is an AI-driven web application that detects brain tumors from MRI scans using Mask R-CNN, designed to support early and accessible diagnosis through a practical clinical workflow.
A curated collection of projects exploring machine learning, AI, and data-driven solutions — from concepts to deployed products.

NeuraScan is an AI-driven web application that detects brain tumors from MRI scans using Mask R-CNN, designed to support early and accessible diagnosis through a practical clinical workflow.
WebsiteSIKOPLING is a digital public service platform designed to facilitate interactive environmental approval and consultation processes between government institutions, stakeholders, and the public.
MobileSUARA is a mobile-based e-democracy platform designed to connect citizens with public policy processes through real-time voting and digital aspiration submission in a more accessible, transparent, and structured way.
MobileHafalQ is a Flutter-based mobile application designed to help users memorize, read, and understand the Qur’an through a modern and personal learning experience centered around the Tasmi’ method.
Machine LearningChild Fall Detection System is an AI-powered safety monitoring solution that detects child falls in real time using pose estimation, edge-friendly computer vision, and instant alert delivery through IoT communication pipelines.
Machine LearningNeuraScan is an AI-driven web application that detects brain tumors from MRI scans using Mask R-CNN, designed to support early and accessible diagnosis through a practical clinical workflow.
Machine LearningRupiah Currency Denomination & Sum Detection is an assistive AI system designed to help visually impaired individuals identify and count Indonesian banknotes automatically using computer vision and YOLOv8-based object detection.