https://github.com/bhaskatripathi/journalfinder

The Scientific Journal Finder suggests the best matching journals for a given research paper.
https://github.com/bhaskatripathi/journalfinder

citation journal manuscript scientific-journals

Last synced: 3 months ago
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The Scientific Journal Finder suggests the best matching journals for a given research paper.

• Host: GitHub
• URL: https://github.com/bhaskatripathi/journalfinder
• Owner: bhaskatripathi
• Created: 2023-03-24T21:14:38.000Z (over 2 years ago)
• Default Branch: main
• Last Pushed: 2023-04-10T11:28:48.000Z (over 2 years ago)
• Last Synced: 2025-04-14T09:35:39.464Z (6 months ago)
• Topics: citation, journal, manuscript, scientific-journals
• Language: Python
• Homepage: https://bhaskatripathi-journalfinder-app-3t6op2.streamlit.app/
• Size: 71.3 KB
• Stars: 8
• Watchers: 3
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# Scientific Journal Finder

The Scientific Journal Finder is a web application that uses OpenAI's GPT-3 language model to suggest the best matching journals for a given research paper. The application searches for journals published by popular publishers such as Sciencedirect, MDPI, IEEE, Wiley, Peerj, Emerald, and PLOS.

#### Demo Video on Twitter: [![Journal Finder Demo Video](youtube.png)](https://twitter.com/i/status/1639401847495487492)

## Getting Started

To use the application, you will need an OpenAI API key. Once you have an API key, you can run the application by:

1. Cloning the repository to your local machine

2. Install the dependencies using `pip install -r requirements.txt`

3. Run the application using `streamlit run app.py`

4. Enter your OpenAI API key, paper title, abstract, and keywords

5. Click the "Find Journals" button to get the results

## How It Works

The Scientific Journal Finder uses OpenAI's GPT-3 language model to generate a prompt that includes the paper's title, abstract, and keywords. The prompt is designed to ask GPT-3 to suggest the best matching journals that are indexed in the selected indexes and are published by the selected publishers. GPT-3 returns a list of the best matching journals, which are displayed to the user.

## Limitations

The Scientific Journal Finder is an experimental application that uses artificial intelligence. 

The application provides suggestions and should not be considered a definitive source of information. 

The application's results should always be verified by the user and cannot be used as a substitute for professional advice.

# UML

``` mermaid

classDiagram

    class JournalFinder {

        +chat_gpt_request(api_key: str, messages: List[dict]) : str

        +journal_finder(api_key: str, title: str, abstract: str, ssci: bool, scie: bool, esci: bool, keywords: str) : str

    }

    class StreamlitApp {

        +title: str

        +sidebar: object

        +api_key: str

        +title: str

        +abstract: str

        +keywords: str

        +ssci: bool

        +scie: bool

        +esci: bool

    }

    JournalFinder -- StreamlitApp

```