Developed as part of the Huawei Internship Program in collaboration with Kuwait University. It replicates a simplified version of Huawei SmartCare’s churn analysis.

Developed as part of the Huawei Internship Program in collaboration with Kuwait University. This Flask-based microservice powers a simplified churn prediction engine inspired by Huawei SmartCare, using a trained ML model to return churn probabilities for telecom customers via API.

Developed as part of the Huawei Internship Program in collaboration with Kuwait University. It replicates a simplified version of Huawei SmartCare’s churn analysis capabilities using public telecom data.

Train classification models to predict the chess opening based on the first few moves.