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.

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

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.