ResearchRadar is a web platform designed for the evaluation of research papers, providing scores, and offering recommendations based on their quality and relevance.
Visit the live app: ResearchRadar
- Paper Evaluation: ResearchRadar provides a comprehensive evaluation of research papers, considering various factors such as clarity, novelty, methodology, and significance.
- Score Assignment: Based on the evaluation criteria, ResearchRadar assigns scores to research papers, helping users gauge their quality at a glance.
- Recommendations: Leveraging advanced algorithms, ResearchRadar offers tailored recommendations for further reading, aiding researchers in discovering relevant literature.
- User-Friendly Interface: With a streamlined interface powered by Streamlit, ResearchRadar ensures ease of use and intuitive navigation for users.
- LangChain
- Streamlit
- PyPDF2
- Clone the repository:
git clone https://github.com/subhayudutta/ResearchRadar.git - Navigate to the project directory:
cd ResearchRadar - Install dependencies:
pip install -r requirements.txt
- Run the Streamlit app:
streamlit run app.py - Access the app in your browser at
http://localhost:8501
- Visit the ResearchRadar website.
- Upload the pdf you want to chat with.
- Enter your messages.
- Chat with multiple PDFs using the power of generative AI.
Contributions are welcome! Feel free to open an issue or submit a pull request.
This project is licensed under the GPL-3.0 license. Feel free to customize the README according to your project's specifics!