Research Assist Tool simplifies and summarizes scientific data, converts it into audio podcasts, and creates PowerPoint presentations. Ideal for researchers, academics, and students.
- Automated Text Mining: Extracts relevant segments using the TF-IDF algorithm.
- Content Generation: Summarizes with BART model.
- PowerPoint Presentation: Creates slides with Python pptx.
- Text-to-Speech: Converts summaries to audio using VidLab API.
- Clone Repository:
git clone https://github.com/xreedev/Research-Asist-Tool.git
- Install Dependencies:
pip install -r requirements.txt
- Start Backend API:
python app.py
- Run Frontend:
npm install cd Frontend npm start
- Pre-trained Models: Download and configure BART models.
- Summarization: Provide the link through the React website.
- Output: Access summaries, presentations, and audio files in the
Outputsfolder.
Research-Asist-Tool/
│
├── app.py # Backend API script
├── requirements.txt # Dependencies
├── README.md # Project documentation
│
├── Frontend/ # Frontend files
│ ├── src/
│ │ ├── App.js # Main React component
│ │ ├── index.js # Entry point for React
│ │ ├── components/ # React components
│ │ ├── services/ # API service functions
│ │ └── styles/ # CSS files
│ ├── public/
│ │ ├── index.html # Main HTML file
│ │ └── ...
│ └── package.json # Node.js dependencies
│
├── Models/ # Pre-trained models
│ ├── bart/ # BART models
│ ├── tf-idf/ # TF-IDF models
│ └── ...
│
├── Outputs/ # Generated outputs
│ ├── summaries/ # Text summaries
│ ├── presentations/ # PowerPoint files
│ └── audio/ # Audio files
│
└── Utils/ # Utility scripts
├── text_mining.py # Text mining functions
├── summarization.py # Summarization functions
├── ppt_creation.py # PowerPoint generation
└── text_to_speech.py # Text to speech conversion
-
Text Mining:
- Input: Scientific paper (PDF/URL)
- Process: Extracts key segments using
text_mining.py - Output: Relevant text segments
-
Summarization:
- Input: Extracted text segments
- Process: Summarizes using BART model (
summarization.py) - Output: Summarized text
-
PowerPoint Creation:
- Input: Summarized text
- Process: Generates slides using
ppt_creation.py - Output: PowerPoint file
-
Text-to-Speech:
- Input: Summarized text
- Process: Converts to audio using
text_to_speech.py - Output: Audio file
- Jafar N
- Sharon T Saju
- Sreedev TS (xreedev@gmail.com)