This week marks the grand finale of our year-long engineering journey. We successfully completed our Final Design Review (FDR), presenting a fully integrated, cloud-native fraud detection system to our faculty and industry mentors. It has been an incredible experience taking… Read More

Following last week’s successful system integration, this week has been all about aligning our architecture with global enterprise standards. We reached a major strategic milestone by meeting with the cloud engineering team to finalize a comprehensive action plan for deploying… Read More

Huge milestone this week! We have successfully achieved full-system integration, connecting our data preprocessor, ML ensemble model, middleware, and frontend into one seamless pipeline. Key Highlights: What’s Next? Preparing for a strategic meeting with the cloud team in Bengaluru to… Read More

This week marks a defining moment for our project as we have successfully bridged every core component—the preprocessor, machine learning model, middleware, and frontend—into a unified, end-to-end pipeline. This achievement was validated through extensive testing of our AWS Lambda functions,… Read More

This week has been a landmark period for our project as we hit a major technical milestone: successfully demonstrating our fully functional AWS-based ensemble model during a key stakeholder review. This backend success was mirrored by a significant overhaul of… Read More

This week marks a significant leap forward as we successfully transitioned our local development into a fully deployed cloud environment. We leveraged a robust AWS stack—utilizing S3, ECR, SageMaker AI, Lambda, and API Gateway—to host our ensemble model, providing a… Read More

This week has been defined by a rigorous focus on model optimization and enhancing the scalability of our platform. We successfully boosted the performance of our ensemble machine learning model, specifically increasing recall by fine-tuning hyperparameters and adjusting our autoencoder… Read More

This week has been a major turning point for our project as we shift from development toward a deployable, high-performance system. We successfully finalized our ensemble machine learning model, calculating comprehensive performance metrics for each individual model and the integrated… Read More

Week 6 has been focused on transforming our validation data into actionable insights through robust testing and visualization. We successfully established a comprehensive testing pipeline utilizing both Isolation Forests and an Autoencoder, leveraging the 1,200 manually labeled anomalous data points… Read More

Week 5 has been defined by a deep dive into data validation and a significant push to refine our user experience. We reached a major milestone by manually labeling approximately 1,200 anomalous transactions, providing our ensemble machine learning model with… Read More

Week 4 has been a pivotal period of integration as we move closer to a fully functional system. We successfully completed the coding for our data preprocessor, which is now transitioning into the testing phase to ensure a seamless flow… Read More

Another productive week in the books. After presenting our current status to our university coaches, we’re walking away with actionable insights that are already influencing our development. Getting an outside perspective at this stage is crucial. With that feedback in… Read More

Another productive week in the books for Semester 2! We’ve officially defined the API contract for our ML model, which is a huge step for system integration. On the development side, we’ve been focused on JSON parsing and pre-processing logic to make sure our… Read More

Kicking off the second half of our project with a major focus on infrastructure and planning! We’ve officially containerized our development environment using Docker, which will be huge for maintaining consistency as we move into heavy coding. After a productive session… Read More