food_informer

Allowing Dutch users to make unbiased cheap and healthy decisions.

Introduction

Supermarkets are notorious for aggressive and confusing marketing tactics. This might trick the customer into buying overly expensive or unhealthy food. Sadly it is made difficult to make informed discicions about what to buy.

Aim

This project aims to provide a crude insight into the nutricion to price relationship per foodgroup. This is done by applying frequentist statistics to the NEVO and retrieving the most significant products using the hidden jumbo api.

Dependencies

This Project requires the following dependences to be installed using the followint pip command: pip install bokeh seaborn sklearn pandas panel matplotlib supermarktconnector scipy jupyter-notebook

Installation & running the project

1. Clone repository using git clone https://github.com/jgray1996/food_informer
2. Open a terminal in the cloned director
3. run jupyter-notebook .
4. run the cells

LICENCE

This project is licenced under the MIT-licence