This week marked significant progress across all teams as we worked towards refining our system and enhancing performance. With key milestones reached in system integration, feature testing, and model optimization, we are steadily moving closer to a fully functional anomaly detection system for gas station transactions.

The UI Team successfully completed system integration, ensuring seamless interaction between the pipeline and server. This achievement is a crucial step in making our solution operational. Additionally, the team created a short demo video for the PID, showcasing how our system works and its potential impact. This will help communicate our progress effectively to stakeholders.

On the FE side, the team made substantial improvements by reintroducing and testing features, achieving an average 10% increase in recall and precision. This enhancement strengthens our system’s ability to detect anomalies accurately. They also finalized the feature list for previously unidentified anomaly types, allowing for more comprehensive fraud detection. Collaborating closely with the ML Team, they worked on refining the ensemble prediction model to boost overall performance.

The ML Team achieved a major milestone by completing the pipeline and running the first round of Optuna tests, yielding 90%+ recall values for all models. These results indicate strong detection capabilities, setting a solid foundation for further refinement. The team also completed the simulation process, which allows us to better assess real-world performance.

Looking ahead to next week, our primary focus will be completing the FDR report and PID on Tuesday. Each subteam has clear objectives: the UI Team will finalize system integration testing, the FE Team will complete final feature testing and further enhancements, and the ML Team will update the production pipeline with optimized parameters, continue Optuna tests, and begin working on Docker containers and documentation.

With these next steps, we are refining our system for optimal performance and preparing for deployment. We’re excited about the progress made so far and look forward to seeing our final refinements take shape.

Thanks for following our journey—stay tuned for more updates next week!