Health Expense Planner

Solving for India Challenge: DTU

Summary

This app allows the user to predict their Health Expense using a Machine Learning Model and then get a detailed personalized plan to save funds for it.

Starting Screen	Output 1	Output 2

Features

This app allows the user to:

• Predict Health expenses based on various parameters like age, sex, bmi, number of children and whether they are a smoker or not
• Uses a custom built Azure Auto ML model integrated to Power Apps using Power Automate Flow
• Provides a customized plan to save for health expenses based on inputs and the result of the model using Open AI's API

Prerequisites

You need to get an API key from OpenAI

Solution Components

• App (Interface)
• Azure Auto ML Flow (Power Automate flow)
• Azure Auto ML Model for predictions

Details

Open AI API

This apps connects to the Open AI API and uses the information to create a health expense plan

Power Automate Flow

Uses a Power Automate Flow to pass the input to the model and get the results back.

• The flow uses HTTP to POST the inputs to the Model Endpoint
• It then uses Parse JSON to parse the output
• Finally sends it back to the Power App

A screenshot for the flow:

Azure Auto ML Model

Data Exploration:

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Model:

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Deployed Model Endpoint URL: Link

Deployed App URL: Link