Client: National Research and Innovation Agency (BRIN)
Developed a computer vision system using YOLOv8 and OpenCV to detect aircraft body damage from drone footage, enhancing inspection speed and accuracy.
Client: PT. Gunung Amal Solutions Internasional
Built a full-stack system to streamline task assignments, progress tracking, and team collaboration, leveraging Node.js and cloud database integration.
Type: R&D Case Study
Designed and developed a heart disease prediction application using a Random Forest machine learning model and interactive visualizations with Streamlit.
Type: R&D Case Study
Engineered a secure identity management platform using Motoko Backend and Vanilla JS, allowing users to generate unique ID addresses for seamless integration.
Client: Binus University (PKM-KC Nominee)
Developed and fine-tuned a pothole detection system that generates automated PDF reports for infrastructure maintenance.
Type: R&D Case Study
Built a web-based platform to connect blood donors with those in need, featuring real-time requests and inventory management.