ThesiqX: An Agentic AI System for End-to-End Research Paper Drafting, Auditing, and Publication Tool

Abstract

The rapid growth of research publication requirements has created challenges for students and researchers in writing structured, publication-ready research papers. Existing AI writing tools can generate content quickly, but they often produce generic outputs that are easily detected by AI detection systems used by journals and conferences. In addition, researchers usually depend on multiple platforms for paper generation, formatting, grammar correction, and verification, which increases both time and cost.
To address these issues, this project presents the Agentic AI Research Platform, an integrated web-based system that assists researchers throughout the complete research paper development process. The platform uses a multi-agent AI architecture built with LangGraph and powered by Groq LLM models to generate structured research papers in standard journal formats such as IEEE, Springer, and Elsevier. The system includes modules for topic understanding, template generation, section-wise content creation, editing assistance, and export functionality.
A major feature of the platform is the Examine Center, a verification engine that analyzes uploaded or generated papers and detects AI-related writing patterns before journal submission. The platform also provides an Admin Panel for managing users, monitoring token limits, and handling system-level operations.