Malnutrition Trend Tracking and Early Warning Dashboard

A malnutrition trend tracking and early warning dashboard.

A malnutrition trend tracking and early warning dashboard. As a reference project it shows how a system like this is put together in practice, which parts matter and how they are tested, so that a developer can learn from it and build on it.

It suits learners who want to turn raw data into decisions: collecting and cleaning data, exploring it, modelling it and presenting the findings in a dashboard or report.

The main parts are a dashboard with charts and filters, alerts when a threshold or risk is reached, data collection and cleaning, exploratory analysis and feature building, and modelling and validation. The reference build uses Plotly Dash, Python, Pandas, Apache Spark, and Power BI, with a clear project structure, setup instructions and sample data so that it can be run and extended.