Welcome to Qyrx, your scholarly companion for generating academic papers from voice inputs. Pronounced as "GAIRAX," Qyrx leverages cutting-edge technology to transform your spoken ideas into publishable research papers. Embrace your inner scholar and embark on a journey of seamless content creation.
Qyrx is a React-based application that allows users to dictate their research ideas through voice inputs. The app then harnesses the power of Natural Language Processing (NLP) and a transformer-based engine to craft well-structured scientific papers. From generating scholarly content to visualizing data and code, Qyrx covers it all.
- Voice-to-Text Conversion: Record your thoughts and watch them transform into text before your eyes.
- NLP Magic: Our NLP engine extracts topics, keywords, and structure from your input for focused paper generation.
- Content from the Web: Qyrx searches the internet for related materials to enhance your paper.
- Visual Aids: Generate charts, graphs, and analytics to enhance the quality of your paper.
- Stylish UI: Immerse yourself in a user-friendly and elegant interface inspired by scholarly aesthetics.
- Publication Ready: Qyrx compiles your content into well-formatted, ready-to-publish papers.
- Clone this repository: `git clone https:/# Qyrx (GAIRAX)
Welcome to Qyrx, your scholarly companion for generating academic papers from voice inputs. Pronounced as "GAIRAX," Qyrx leverages cutting-edge technology to transform your spoken ideas into publishable research papers. Embrace your inner scholar and embark on a journey of seamless content creation.
Qyrx is a React-based application that allows users to dictate their research ideas through voice inputs. The app then harnesses the power of Natural Language Processing (NLP) and a transformer-based engine to craft well-structured scientific papers. From generating scholarly content to visualizing data and code, Qyrx covers it all.
- Voice-to-Text Conversion: Record your thoughts and watch them transform into text before your eyes.
- NLP Magic: Our NLP engine extracts topics, keywords, and structure from your input for focused paper generation.
- Content from the Web: Qyrx searches the internet for related materials to enhance your paper.
- Visual Aids: Generate charts, graphs, and analytics to enhance the quality of your paper.
- Stylish UI: Immerse yourself in a user-friendly and elegant interface inspired by scholarly aesthetics.
- Publication Ready: Qyrx compiles your content into well-formatted, ready-to-publish papers.
- Clone this repository:
git clone https://github.com/yourusername/qyrx.git
- Install dependencies:
npm install
- Start the development server:
npm start
- Explore Qyrx in your browser at
http://localhost:3000
Qyrx is meticulously crafted using the following modules and libraries:
- IPM - Input Processing Module: Utilizes
react-mic-recorder
andreact-speech-recognition
for voice input and NLP. - CGM - Content Generation Module: Integrates
@huggingface/transformers
,react-syntax-highlighter
, andreact-chartjs-2
. - EDRM - External Data Retrieval Module: Employs
axios
to gather research materials. - UIM - User Interface Module: Designed using
react-router-dom
andstyled-components
. - OCFM - Output Compilation and Formatting Module: Generates PDFs with
react-pdf
. - BSAM - Backend Services and APIs Module: Builds on
express
and communicates withaxios
. - DMSM - Data Management and Storage Module: Uses
localStorage
for user data.
We welcome contributions to enhance Qyrx's capabilities. Please feel free to fork this repository, make improvements, and submit pull requests.
This project is licensed under the MIT License.
Qyrx is inspired by the pursuit of knowledge, scholarly elegance, and the joy of creation.
Have a question or feedback? Contact us at [email protected].
//qyrx.git2. Install dependencies:
npm install3. Start the development server:
npm start4. Explore Qyrx in your browser at
http://localhost:3000`
Qyrx is meticulously crafted using the following modules and libraries:
- IPM - Input Processing Module: Utilizes
react-mic-recorder
andreact-speech-recognition
for voice input and NLP. - CGM - Content Generation Module: Integrates
@huggingface/transformers
,react-syntax-highlighter
, andreact-chartjs-2
. - EDRM - External Data Retrieval Module: Employs
axios
to gather research materials. - UIM - User Interface Module: Designed using
react-router-dom
andstyled-components
. - OCFM - Output Compilation and Formatting Module: Generates PDFs with
react-pdf
. - BSAM - Backend Services and APIs Module: Builds on
express
and communicates withaxios
. - DMSM - Data Management and Storage Module: Uses
localStorage
for user data.
We welcome contributions to enhance Qyrx's capabilities. Please feel free to fork this repository, make improvements, and submit pull requests.
This project is licensed under the MIT License.
Qyrx is inspired by the pursuit of knowledge, scholarly elegance, and the joy of creation.
Have a question or feedback? Contact us at [email protected]