STAR-GEN Demo Video (Deltas explained):

STARGEN_Demo.mp4

STA(R) GEN: A STAR RECIPE GENERATOR 🍔

Recipe_Recommender.mp4

🍔 Our motto: Eat good, Be Healthy, Stay Happy 🍔

Recipe Recommender is an application that suggests you recipes based on the ingredients which are currently available. One of the most tedious tasks while cooking is figuring out what to cook with the ingredients that you, have rather than how to cook it. Our software aims to ease this dilemma by providing recipes for food items which you can make with the ingredients at your home.

Documentation

Recipe Recommender is a website that suggests users simple food recipes based on ingredients provided.

• The interface can take multiple ingredients from user as an input.
• The interface can also takes the type of cuisine the user wants.
• For each recipe, we show the key ingredients, instructions and a sample image.
• Upon user request we also send the list of recipes to the user.

Source documentation can be found at: [Recipe Recommender Docs] https://github.com/het-patel99/Recipe_Recommender/blob/master/docs/Recipe%20Recommender%20Source%20Documentation.pdf [Restaurant Recommender Docs] https://github.com/het-patel99/Recipe_Recommender/blob/master/docs/Restaurant_Recommendation.pdf

Technology Stack

Key Software Requirements

• Node.js v14.7.6
• NPM v6.14.15

Project Setup Steps:

Installation:

• clone repository using git clone https://github.com/het-patel99/Recipe_Recommender.git

• setup for frontend open terminal and navigate to the frontend folder and execute the following:

  npm install
  

• setup for backend open terminal and navigate to the backend folder and execute the following:

  npm install
  

  Execution Steps

1. start backend server using:

   npx nodemon
   

2. start frontend server using:

   npm start
   

3. Automatically a browser window is opened which shows frontend.
4. run npm test for running the tests [Dependencies: Jest, Chai, Supertest]

IDE and Code Formatter

• Visual Studio Code IDE
• Prettier Formatter for Visual Studio Code

Work Flow

Previous Work	Current Work (Updated email format)
	View Recipes
Database

Roadmap

Phase 3: Completed Tasks:

• Added more filters and also recommend restaurants to users based on their inputs.
• Added vegeterian/vegan filters, etc.
• Hosted database on MongoDB server for better availability.
• Added additional dataset to recommend restaurant as per the desired cuisine.
• Made the webpage publicly available by hosting the website on AWS and reduced the down time to 0.
• Added filter for rating recipe.
• Dockerized the application.
• Fine tuned the existing code and wrapped up to produce a finished product.
• Changed email format of the recipe suggestions.
• Added cooking time filter.
• Improved the code test coverage by adding more specialized test cases.
• Added demo video which shows how the user will interact with our software.
• Added document for Phase-3 Improvements : https://github.com/het-patel99/Recipe_Recommender/blob/master/docs/Phase%203%20Improvements.pdf

📄 License

This project is licensed under the terms of the MIT license. Please check License for more details.

✏️ Contributions

Please see our CONTRIBUTING.md for instructions on how to contribute to the project by completing some of the issues.

Contributors Phase - 3

Het Patel

Hardik Udeshi

Saloni Mahatma

Kalgee Kotak

Vineet Chheda

Made with ❤️ on GitHub.