ResearchPaperAI is a developer template for building AI-powered research paper analysis systems. It helps researchers, students, and academics quickly understand and analyze research papers using AI. Whether it's summarizing papers, analyzing methodologies, or exploring practical applications, ResearchPaperAI is here to assist.
- Instant, sophisticated paper analysis using OpenAI's GPT-4 model
- Real-time paper search through arXiv's extensive database
- Comprehensive research analysis framework
- Interactive streaming responses for better user experience
- Beautiful UI with smooth transitions and animations
- Next.js 14 for building the fullstack web app
- OpenAI API for advanced natural language understanding and analysis
- arXiv API for research paper search and retrieval
- Streaming API implementation for real-time responses
- Modern UI with CSS animations and glass morphism design
- Quick understanding of complex research papers
- Detailed methodology analysis
- Identification of practical applications and implications
- Exploration of research limitations and future work
- Comparison with existing literature
- Clone the repository:
git clone
- Navigate to the project directory:
cd ResearchPaperAI
- Install dependencies:
npm install
- Set up environment variables: Create a .env.local file in the root directory and add the following variables:
OPENAI_API_KEY=your_openai_api_key
- Start the development server:
npm run dev
Open your browser and navigate to http://localhost:3000
- Paper Search: Instantly search through arXiv's database of research papers
- Analysis Framework: Structured approach to understanding papers through multiple lenses
- Interactive Chat: Real-time conversation with AI about the paper's content
- Streaming Responses: Watch the analysis unfold in real-time
- Modern UI: Beautiful, responsive design with smooth animations
- Search for a research paper using keywords
- Select a paper from the search results
- Get instant AI analysis and summaries
- Ask specific questions about the paper
- Explore different aspects through the analysis framework
We love contributions! Here's how you can help make the project even better:
- Fork the project (gh repo fork https://github.com/0xmetaschool/ResearchPaperAI.git)
- Create your feature branch (git checkout -b feature/AmazingFeature)
- Commit your changes (git commit -m 'Add some AmazingFeature')
- Push to the branch (git push origin feature/AmazingFeature)
- Open a Pull Request
This project is licensed under the MIT License - see the LICENSE file for details.
Please open an issue in the GitHub repository for any queries or support.