https://github.com/amatofrancesco99/food-recommender

A web app, whose purpose is suggesting new recipes to logged users.

Science Score: 13.0%

This score indicates how likely this project is to be science-related based on various indicators:

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CITATION.cff file
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codemeta.json file
Found codemeta.json file
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.zenodo.json file
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DOI references
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Academic publication links
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JOSS paper metadata
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Scientific vocabulary similarity
Low similarity (13.4%) to scientific vocabulary

Keywords

food food-recommendation foodrecssysv1 login-system recipe-website registration-system review-system

Last synced: 9 months ago · JSON representation

Repository

A web app, whose purpose is suggesting new recipes to logged users.

Basic Info

Host: GitHub
Owner: Amatofrancesco99
License: mit
Language: PHP
Default Branch: main
Homepage: https://foodrecommender.altervista.org/templates/index.php
Size: 14 MB

Statistics

Stars: 6
Watchers: 1
Forks: 2
Open Issues: 0
Releases: 1

Topics

food food-recommendation foodrecssysv1 login-system recipe-website registration-system review-system

Created over 4 years ago · Last pushed over 4 years ago

Metadata Files

Readme License

Food Recommender 🍟

Repo-views-counter

Description

A web app, whose purpose is suggesting recipes to logged users.

Used recipes dataset: FoodRecsSysv1.
It contains over 45k recipes, coming from all over the world!

Configuration

How can I start this application?

1. Open Mamp and start the server. 1. Not yet downloaded? Go at this [link](https://www.mamp.info/en/downloads/). 1. Open phpMyAdmin clicking on `WebStart`>`Tools` and create a new db named `food_recommender`. 1. Fork this project moving in the `document root folder` shown once Mamp app is opened. 1. Change the [`config.php`](https://github.com/Amatofrancesco99/food-recommender/blob/main/scripts/php/config.php) file, inserting your **MySQL db istance** coordinates. 1. If you did not change the Mamp settings, the `config.php` file does not need to be modified. 1. Download the [`.sql.zip file`](https://drive.google.com/file/d/1vSHhYI_drTdydcyKCq485CCr_xLOCdn8/view?usp=sharing)(containing *users, recipes & reviews tables*) and import it in `food_recommender` db. 1. Problems with the import procedure, since the imported file is too big?
Search the `php.ini` file and change this properties: ``` post_max_size = 2048M upload_max_filesize = 2048M max_execution_time = 5000 max_input_time = 5000 memory_limit = 4096M ``` 1. Insert this link in your browser: `http://localhost:8888/food-recommender/templates/index.php`. 1. Now the real fun begins... 1. You can make changes on the project and add new functionalities.

Functionalities

What else could be implemented?

The application now returns a *random recipe* taken from the database.
Obviously this is the easiest implementation, but you're free to fork this project and add new functionalities.
Some examples: - Suggesting a recipe basing on: - its nutrients - its ingredients - ratings given by other users - ... - Handle the possibility to add a personal rating on a recipe, by a logged user. **Any help will really be appreciated.**