ArxivPaperAI is a cutting-edge tool designed to facilitate the exploration and analysis of scientific papers from the arXiv repository. Empowered by ChatGPT, it allows users to summarize complex academic documents in seconds, offering deep insights and enhancing focus. This makes it easier for researchers, students, and academics to stay updated with the latest advancements in their fields, saving valuable time and effort.

Deep Research AI Agent is an open-source Python framework designed for conducting comprehensive research tasks. It leverages integrated web search, PDF ingestion, and NLP pipelines to discover relevant sources, parse technical documents, and extract structured insights. The agent chains requests through LangChain and OpenAI, enabling context-aware question answering, automated citation formatting, and multi-document summarization. Researchers can adjust search scopes, filter by publication date or domain, and output reports in markdown or JSON. This tool minimizes manual literature review time and ensures consistent, high-quality summaries across diverse research domains.

Notus is a powerful AI research assistant designed to simplify your research journey. It utilizes advanced natural language processing capabilities to effectively summarize complex academic papers, organize findings, and manage references seamlessly. Whether you are a student, researcher, or professional, Notus aids you in extracting pertinent information quickly and efficiently, allowing you to focus more on analysis and insights rather than manual organization.