The research write-up behind my smart-manufacturing quality system, presented at the 2023 Advanced Robotics and Intelligent Systems (ARIS) International Conference under the title Smart Manufacturing with AI-Based Real-Time Quality Prediction.

The paper frames the engineering result in measurable terms: an AI model that predicts product weight with only 0.2% deviation from actual values, which reduced inspection time by over 80% compared with the manual process. To make it usable in practice, the system pairs a secure database with a real-time GUI, giving both on-site operators and remote stakeholders instant insight into production quality.

Presenting at ARIS was my first experience defending a system to an academic audience, translating a working prototype into a result others could evaluate and build on.