Saver Life Demo Video

https://youtu.be/AMusXTNxZqs

README Directory

• Important Links

• Contributors

• Getting Started

• File Structure

• Wireframe

• Engineering Architecture Diagram

• Application Overview

Important Links:

• Deployed Application

• Data Science API

• Data Science Github

• Front-End Github

• Back-End Github

Contributors

Doug Cohen	Kyle Yates	Harrison Kang

Data Science API

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

Getting Started

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.

File structure

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

Wireframe

Engineering Diagram

Tech stack

• 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.

Application Overview

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