A practical comparision demonstrating: RT-IoT-2022 usage for binary (malicious or benign) and multi-class classification, ML (ensemble-based) and DL (CNN-based) models for training and comparison, …

Two Python microservices (Order + Analytics) that communicate via REST. Each service is Dockerized, unit-tested, and has a CI pipeline that runs tests and security scans.

School project that cleans and preprocesses public vehicle loan dataset to then use AI (ML-based) to predict whether a borrower is likely to default on their monthly loan.