https://youtu.be/AMusXTNxZqs

• Important Links

• Contributors

• Getting Started

• File Structure

• Wireframe

• Engineering Architecture Diagram

• Application Overview

• Deployed Application

• Data Science API

• Data Science Github

• Front-End Github

• Back-End Github

Doug Cohen	Kyle Yates	Harrison Kang

The Data Science API for the SaverLife project can be found here (hosted on AWS Elastic Beanstalk)

Navigate to http://saverlife-a.eba-atdfhqrp.us-east-1.elasticbeanstalk.com/ in your browser

You'll see our API documentation:

• App title
• API description
• An endpoint for POST requests, /future_budget, /moneyflow, and /spending
• An endpoint for GET requests, /current_month_spending and /dashboard

Click the /future_budget endpoint's green button.

You'll see the endpoint's documentation, including:

• The function's docstring
• Request body example, as JSON (like a Python dictionary)
• A button, "Try it out"

Click the "Try it out" button.

The request body becomes editable.

Click the "Execute" button. Then scroll down.

You'll see the server response, including:

• Code 200, which means the request was successful.
• The response body, as JSON, which shows the recommended budget for a specific user.

project
├── Dockerfile
├── requirements.txt
└── app
    ├── __init__.py
    ├── main.py
    ├── helpers.py
    ├── user.py
    ├── api
    │   ├── __init__.py
    │   ├── dashboard.py
    │   ├── predict.py
    │   └── viz.py    
    └── tests
        ├── __init__.py
        ├── test_main.py
        ├── test_predict.py
        └── test_viz.py

• AWS Elastic Beanstalk: Platform as a service, hosts your API.
• Docker: Containers, for reproducible environments.
• FastAPI: Web framework. Like Flask, but faster, with automatic interactive docs.
• Plotly: Visualization library, for Python & JavaScript.
• Amazon RDS: Cloud based relational database.
• Statsmodels: Statistical modeling library for Python.

Watch the video below to see an overview of the finished product!