Jumba

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Table of Contents

1. About The Project
   • Built With
2. Getting Started
   • Prerequisites
   • Installation
3. Roadmap
4. Contributing
5. License
6. Contact

About The Project

Introducing Jumba 🍳: Your personalized recipe generator, crafting hassle-free cooking experiences akin to HelloFresh. The name Jumba actually comes from the TV show Lilo & Stich, where Dr. Jumba was an alien scientist who was convicted for creating illegal genetic experiments 😮. Jumba is a recipe generator that uses the OpenAI & Langchain to generate recipes based on the ingredients you have lying around your fridge/pantry. Powered by the T3 Stack, this modern full-stack marvel combines Next.js and TypeScript for a sleek frontend, while leveraging NextAuth.js, Prisma, and tRPC for seamless authentication, efficient database management, and robust APIs. Elevate your culinary journey today with Jumba, where every dish is an adventure! 🌟🍽️

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Built With

• 
• 
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• Next Auth
• Langchain
• shadcn/ui

Features

• Email Magic Link Authentication
• AI Experiment Generator
• Experiment Listing & Reviews

What I Learned ?

• How to use NextAuth.js to implement authentication and authorization
• Langchain API integration
• How to use tRPC to implement a GraphQL-like API
• How to use Tailwind CSS & Radix UI to build a responsive and engaging UI

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Prerequisites

Make sure you have the following tools installed on your system:

• Node.js (Recommended version: +18)
• Yarn (Recommended version: 1.22.x)
• Postgresql (Recommended version: 15)

Installation

1. Get an Open AI API Key at Open AI Platform
2. Clone the repo

    git clone https://github.com/todo-labs/jumba.git

3. Install NPM packages

    yarn install

4. Copy over your env file

    cp .env.example  .env

5. Run the development server

    yarn dev

6. Open http://localhost:3000 with your browser to see the result.

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Roadmap

• Add a filters for home experiment listing
• Add a photo uploads to review card
• Add Dashboard Image review tab
• Add timer component to the steps if applicable

See the open issues for a full list of proposed features (and known issues).

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Contributing

Contributions are what make the open source community such an amazing place to learn, inspire, and create. Any contributions you make are greatly appreciated.

If you have a suggestion that would make this better, please fork the repo and create a pull request. You can also simply open an issue with the tag "enhancement". Don't forget to give the project a star! Thanks again!

1. Fork the Project
2. Create your Feature Branch (git checkout -b feature/AmazingFeature)
3. Commit your Changes (git commit -m 'feat(scope): Add some AmazingFeature (fixes #123)')
4. Push to the Branch (git push origin feature/AmazingFeature)
5. Open a Pull Request

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License

Distributed under the MIT License. See LICENSE.txt for more information.

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Contact

David Ojo - @conceptcodes - conceptcodes@gmail.com

Project Link: https://github.com/todo-labs/jumba

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