SciSPY is a smart research agent that streamlines the academic paper discovery process. Using various APIs and heuristic-based analysis, it searches and retrieves research papers based on user prompts and provides valuable insights into the findings.
- Intelligent paper search based on user prompts
- Customizable number of paper retrievals
- In-depth analysis and insights generation
- User-friendly interface for both students and educators
- Scalable architecture for growing research needs
- Python (Core programming language)
- Heurist Agent Framework
- Streamlit(Frontend interface)
- Deployment infrastructure
- Clone the repository:
git clone https://github.com/yourusername/scispy.git- Create and activate virtual environment:
python -m venv venv
source venv/bin/activate # For Unix/MacOS
venv\Scripts\activate # For Windows- Install required dependencies:
pip install -r requirements.txtSciSPY is designed to be accessible for various user groups, including college students, teachers, and researchers. The platform offers an intuitive interface for:
- Entering research topics or prompts
- Specifying the number of papers to retrieve
- Viewing and analyzing research findings
- Generating insights based on the collected papers
Reference documentation for integrated APIs:
- [API Documentation Link 1]
- [API Documentation Link 2]
- [API Documentation Link 3]
- [API Documentation Link 4]
Currently, this project is closed for modifications by viewers for now. All rights are reserved by the project maintainers.
All rights reserved. No modifications are permitted without explicit permission from the project owners.
For support, inquiries, or more information about SciSPY, please reach out through: [Your contact information here]
Special thanks to:
- Contributors and team members
- API service providers
- Testing and feedback providers
Note: This README is a living document and will be updated as the project evolves.