HanenEl/PacketMatch

Internet package recommender for WE users in Egypt. Analyzes user internet usage behavior to recommend the most suitable data plan , helping avoid unexpected overages and extra costs. # PacketMatch — WE Package Recommendation System --- ## Project Overview PacketMatch is an intelligent Machine Learning-powered recommendation system designed to help WE internet users select the most suitable internet package based on their real usage behavior and consumption patterns. The project addresses a real-world problem faced by many internet users in Egypt: internet bundles running out unexpectedly before month-end, resulting in extra costs and poor user experience. The system analyzes user behavior such as: - Daily internet consumption - Number of connected devices - Usage type - Remaining quota - Billing cycle information Then predicts the optimal WE internet package using a trained XGBoost classification model. The project combines Web Scraping, Synthetic Data Generation, Feature Engineering, Machine Learning, and Interactive Streamlit Deployment. --- ## Problem Statement Many WE internet users in Egypt struggle with: - Internet packages running out before the end of the month - No clear visibility into where data consumption is going - Unexpected spikes in usage leading to confusion and frustration - Paying unnecessary extra bundle costs without understanding why - Difficulty choosing the right package from available options **Users are not struggling with lack of data plans — they are struggling with lack of visibility and control over their internet usage.** --- ## Proposed Solution PacketMatch transforms raw internet usage data into personalized package recommendations using Machine Learning. The system: - Analyzes user internet behavior - Detects inefficient consumption patterns - Predicts the most suitable package - Helps reduce extra bundle costs - Supports smarter internet usage decisions --- ## Project Structure ``` PacketMatch/ │ ├── data/ │ ├── WE_centrals.xlsx │ ├── WE_Dataset.csv │ └── we_plans.xlsx | ├── data_generation/ │ └── WE_Dataset_Generator_v6.py | ├── images/ │ ├── Package Information. …