thedatagirl00/MediMap-Ghana

MediMap Ghana is an AI-driven solution designed to optimize hospital bed management in Ghana. This project leverages machine learning to predict bed availability in real-time, assisting healthcare providersin making informed decisions regarding patient admissions. The system aims to improve efficiency, and enhance overall hospital operational flow. # MediMap Ghana: AI-Powered Hospital Bed Management System ## Project Overview MediMap Ghana is an AI-driven solution designed to optimize hospital bed management in Ghana. This project leverages machine learning to predict bed availability in real-time, assisting healthcare providers in making informed decisions regarding patient admissions, transfers, and resource allocation. The system aims to improve efficiency, reduce patient wait times, and enhance overall hospital operational flow. ## Features * **Synthetic Data Generation**: Creation of a simulated hospital operations dataset to mimic real-world scenarios for model training and testing. * **Data Preprocessing & Feature Engineering**: Robust handling of raw data, including datetime conversions, extraction of temporal features (hour, day of week), and one-hot encoding of categorical hospital identifiers. * **Machine Learning Model**: Implementation and training of a Random Forest Regressor to predict the probability of bed availability based on various hospital metrics (e.g., current occupancy, staff on duty, emergency incoming). * **Interactive Streamlit Dashboard**: A user-friendly web application built with Streamlit, providing: * Real-time input controls for hospital metrics. * Instant AI-driven predictions of bed availability. * Visual status indicators (High, Limited, Critical) and recommendations. * Geospatial visualization using `pydeck` to display hospital locations with color-coded availability. * A simulated security audit log for tracking system interactions. * **Model Persistence**: Saving the trained machine learning model using `joblib` for easy integration into the Streamlit application. * **Deployment Readiness**: Preparation of `requirements.txt` for easy deployment to platforms like Hugging Face Spaces. ## Technologies Used * **Python**: Primary programming language. * **Pandas**: For data manipulation and analysis. * **NumPy**: For numerical operations. * …