https://github.com/beloveddie/research-digest
ResearchDigest simplifies research with AI-powered tools. It allows users to upload multiple research papers simultaneously and receive detailed summaries. Additionally, its interactive question-answering system provides precise responses to specific queries based on the paper’s content.
https://github.com/beloveddie/research-digest
ai-research cohere-ai genai genai-usecase llms streamlit
Last synced: 7 months ago
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ResearchDigest simplifies research with AI-powered tools. It allows users to upload multiple research papers simultaneously and receive detailed summaries. Additionally, its interactive question-answering system provides precise responses to specific queries based on the paper’s content.
- Host: GitHub
- URL: https://github.com/beloveddie/research-digest
- Owner: beloveddie
- License: mit
- Created: 2024-12-03T13:28:00.000Z (11 months ago)
- Default Branch: main
- Last Pushed: 2024-12-03T14:54:34.000Z (11 months ago)
- Last Synced: 2025-02-01T12:11:37.679Z (9 months ago)
- Topics: ai-research, cohere-ai, genai, genai-usecase, llms, streamlit
- Language: Python
- Homepage: https://eddiebee-research-digest.hf.space
- Size: 9.77 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# ResearchDigest
**ResearchDigest** is an AI-powered tool designed to simplify the exploration of academic research papers. With advanced features like multi-paper batch summarization and an interactive question-answering system, it offers researchers and students an efficient way to navigate complex research materials.
## Features
- **Batch Summarization**: Upload multiple research papers at once and receive detailed summaries for each document.
- **Question-Answering System**: Ask specific questions about any uploaded paper and receive accurate, context-aware answers.
## How It Works
1. Upload one or more research papers (PDF format).
2. View AI-generated summaries for each paper.
3. Select a specific paper and ask questions to explore its content further.
## Technologies Used
- **Streamlit**: For creating an intuitive and interactive user interface.
- **Cohere LLMs**: For natural language processing tasks, including summarization and question-answering.
- **pdfplumber**: For extracting text from research paper PDFs.
## Installation
1. Clone the repository:
```bash
git clone https://github.com/beloveddie/research-digest.git
cd research-digest
```
2. Install the required dependencies:
```bash
pip install -r requirements.txt
```
3. Add your Cohere API key:
- Create a `.env` file in the root directory.
- Add your API key in the format:
```
COHERE_API_KEY=your_api_key
```
4. Run the application:
```bash
streamlit run app.py
```
## Usage
- Upload research papers in PDF format using the interface.
- Access concise summaries generated for each paper.
- Use the question-answering feature to interact with any paper’s content.
## Contributing
Contributions are welcome! If you have ideas to improve this app or want to add new features, feel free to fork the repository and submit a pull request.
## License
This project is licensed under the MIT License. See the `LICENSE` file for more details.
## Contact
For questions or feedback, feel free to reach out:
- Email: [edbeeotudor@gmail.com](mailto:edbeeotudor@gmail.com)
- LinkedIn: [Eddie Otudor](https://linkedin.com/in/eddieotudor)