Part 1: Project Overview & Architecture

1. Project Overview

1.1 Welcome & Introduction

The Human Development Index (HDI) is a statistical composite index of life expectancy, education, and per capita income indicators, which are used to rank countries into four tiers of human development.

In this guide, we will build a complete web application that predicts a country’s HDI score based on user inputs. We will transition from raw data exploration to full exploratory data analysis (EDA), log transformations, regression model training, and deploying a Flask web server.

1.2 System Architecture Flow Diagram

Here is how data and decisions flow through the application:

graph TD
    A[1. hdi_data.csv Dataset] --> B[2. Logarithmic GNI Transforms & Preprocessing]
    B --> C[3. Interactive Jupyter Notebook EDA & Feature Audits]
    C --> D[4. Multi-Model Regression: train.py Comparison]
    D --> E[5. Serialized Model saved as Joblib file]
    E --> F[6. Flask Web API app.py]
    F --> G[7. HTML/CSS Frontend UI]