Giter Club home page Giter Club logo

chefineer's Introduction

CHEFINEER

This is a project that is something close to my area of interest.
I am a student right now and in an year or less I will be a working individual. We already know that after leaving the comfort of our homes, how much we focus on our diet. We usually prefer ordering food from some food delivery app or go out and dine.

This project will help you cook something at home even if you have 10-15 minutes in your hand according to your food choices.
Doesn't it sound both interesting and healthy.

As the input you will have to

  • Choose a cuisine
  • Give total time you have to give to cooking
  • Type of Diet

Voila!!! The output will be a dish or a list of dishes that you can prepare according to your given choices!

We have used Transformers to train the data set. We have trained the model using GPT2 module.

Transformers

Transformers are a type of neural network architecture. Transformers were developed to solve the problem of sequence transduction, or neural machine translation. That means any task that transforms an input sequence to an output sequence. This includes speech recognition, text-to-speech transformation, etc. Here since we have a dataset having a lot of textual data, it becomes difficult to train it using the traditional neural network algorithms. Hence we came across tranformers and found them useful for training our dataset.
Keeping in mind the trending topics in the field of machine learning, we have also used Google's Bard to get our output. We achieved this by using a python module 'bardapi'. We fetch cookies of the current session of Bard using requests and then give it a prompt as input.

Output

Output

Google Colab Notebook Link

chefineer's People

Contributors

deepikas04 avatar nikk-16 avatar

Stargazers

 avatar

Watchers

 avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.