Autonomous AI Research Assistant

About this work

Academic research is often slowed by repetitive tasks such as searching for relevant literature, organizing references, extracting insights, drafting content, reviewing technical accuracy, and formatting documents. This project automates that entire workflow using a coordinated multi-agent AI architecture.

The Autonomous AI Research Assistant plans research objectives, retrieves information from academic sources such as ArXiv and the web, analyzes and synthesizes findings, generates structured technical content, performs iterative review and refinement, and compiles publication-ready PDF reports using LaTeX. By combining specialized AI agents with modern LLM orchestration, the platform significantly reduces the time required to produce high-quality research documents while maintaining consistency and traceability throughout the process.

Key Highlights

• Multi-agent AI architecture for collaborative reasoning

• Automated research planning and literature retrieval

• AI-powered drafting, review, and quality improvement

• Citation management and knowledge graph generation

• Automatic LaTeX compilation into publication-ready PDFs

Technologies

Python • LangGraph • LangChain • Gemini • LaTeX • Multi-Agent Systems • LLMs