Authors :
Prateek Sikarwar; Dr. S.K MANJU BARGAVI
Volume/Issue :
Volume 7 - 2022, Issue 3 - March
Google Scholar :
https://bit.ly/3IIfn9N
Scribd :
https://bit.ly/3KedSlg
DOI :
https://doi.org/10.5281/zenodo.6414918
Abstract :
We have a plethora of food recipes on the
internet when we look for what we want to cook, which
makes our jobs difficult when we only have selected
ingredients at our disposal. It is easy to find a recipe and
then get the ingredients to make it, but the problems
occur when we only have select few ingredients, and a
person wants to find what they can make out of it. In
order to tackle this challenge, we create a dataset that
contains a humongous set of recipes and has step-by-step
guide on how to make them. A user will need to input the
picture, either directly uploading them via a web
interface or choosing them from the gallery after photos
are uploaded. These input photos are analysed, and a
recipe set gets returned where users can choose which
one they want to make. It can be achieved using CNN.
CNN classifies the ingredients and puts them in separate
classes based on the training. The set is then matched
with available database of recipe and presented in form
of links and images from where user can chose what to
make. Several components will interact to give
recommendations and present the aesthetic UI/UX
design result. Users can interact with the app without
knowing all the processing involved in the background
that contains data pre-processing, data cleaning, model
training, and other technical things.
Keywords :
CNN, Ingredients, Recipe, UI/UX, Web interface.
We have a plethora of food recipes on the
internet when we look for what we want to cook, which
makes our jobs difficult when we only have selected
ingredients at our disposal. It is easy to find a recipe and
then get the ingredients to make it, but the problems
occur when we only have select few ingredients, and a
person wants to find what they can make out of it. In
order to tackle this challenge, we create a dataset that
contains a humongous set of recipes and has step-by-step
guide on how to make them. A user will need to input the
picture, either directly uploading them via a web
interface or choosing them from the gallery after photos
are uploaded. These input photos are analysed, and a
recipe set gets returned where users can choose which
one they want to make. It can be achieved using CNN.
CNN classifies the ingredients and puts them in separate
classes based on the training. The set is then matched
with available database of recipe and presented in form
of links and images from where user can chose what to
make. Several components will interact to give
recommendations and present the aesthetic UI/UX
design result. Users can interact with the app without
knowing all the processing involved in the background
that contains data pre-processing, data cleaning, model
training, and other technical things.
Keywords :
CNN, Ingredients, Recipe, UI/UX, Web interface.
