An intelligent system that automates the process of generating, analyzing, and refining academic research papers using advanced AI agents and natural language processing.
- Literature Review Analysis: Automatically fetches and analyzes papers from ArXiv
- Hypothesis Generation: Creates and refines research hypotheses with self-reflection loops
- Experiment Design: Generates structured experimental methodologies
- Data Analysis: Performs comparative analysis across research papers
- Research Writing: Refines and formats content in academic style
- PDF Generation: Produces professionally formatted research papers
- Python
- CAMEL Framework for AI Agents
- Groq LLM Integration
- ReportLab for PDF Generation
- ArXiv API Integration
- Various ML/AI Libraries (TensorFlow, PyTorch, etc.)
- Python 3.x
- Required API Keys:
- GROQ_API_KEY
- MISTRAL_API_KEY
- SERPAPI_API_KEY
- Clone the repository
- Create and activate a virtual environment
- Install dependencies:
pip install -r requirements.txt