chinenyemercy5228-ship-it/childhood-immunization-decision-support

AI-powered decision-support system for childhood immunisation planning, using machine learning to support data-driven public health interventions in Nigeria. # 🩺 AI-Powered Childhood Immunisation Decision Support System An AI-powered machine learning application designed to support childhood immunisation planning and data-driven public health decision-making. The system uses a trained machine learning model to analyse relevant information and provide predictions that can support the identification of children who may require closer attention during immunisation planning. This project demonstrates how Public Health, Data Science, and Artificial Intelligence can be combined to address real-world healthcare challenges in Nigeria. ## 🚀 Live Application 🌐 Launch the Immunisation Decision Support App --- ## 📌 Project Overview Childhood immunisation is one of the most effective public health interventions for preventing vaccine-preventable diseases. However, some children may not receive all recommended vaccinations due to factors such as access to healthcare, household characteristics, socioeconomic conditions, and other barriers. This project explores how machine learning can be used as a decision-support tool to support immunisation planning and more targeted public health interventions. The application provides an interactive interface where relevant information can be entered and analysed by a trained machine learning model. > **Note:** This application is a machine learning prototype developed for educational and decision-support purposes. It does not replace healthcare professionals, official immunisation records, or national vaccination guidelines. --- ## 🎯 Project Objectives The main objectives of this project are to: - Apply machine learning to a real-world public health challenge. - Develop an interactive childhood immunisation decision-support application. - Use predictive analytics to support targeted immunisation planning. - Demonstrate the practical application of AI in healthcare. - Explore how data-driven tools can complement public health interventions. - Build and deploy a machine learning app …