SlayAllergens

SlayAllergens is python tool which works on cosine similarity and correlation algorithms to provide content based and collaberative recommendations related to food items.

Tools/Libraries Used:

Pandas
Pymongo
Scikit-Learn

How to Download:

• To download the project, open shell terminal or git-bash and clone it to your local directory (or download the project as zip).

How to set-up:

1. Download MonogoDB-community-server from here and install it.
2. Download MongoDB-Compass from here and install it (If not already installed while installing MonogoDB-community-server).
3. Open the terminal and install the required libraires.
4. Open MongoDB compass and connect by clicking on Fill in connection fields individually and then on connect.
5. Now create a new database, with database name as project and collection name as accounts.
6. Open the database and you'll see a collection named accounts. Now click on Create Collection to create 2 more collections in the project database. Name them filefood and newingredient.
7. Goto the newly created collections and import filefood.csv to filefood collection and editedingredients.csv to newingredient collection.
8. Your database is ready now.

How to run:

• Open terminal or Command Prompt and change directory into the git-clone or download location as:

$ cd PATH_TO_DIRECTORY

• Input the following command to run the project:

$ python3 main.py