PaperBrain is an AI-powered platform designed to simplify the exploration and understanding of research papers. It offers various tools such as smart searches, audio podcasts from papers, and interactive chat features. Users can easily upload and organize their research materials, making it an ideal resource for students, researchers, and academics aiming for a more efficient research process. PaperBrain also provides a user-friendly interface to navigate through papers by keywords, topics, or abstracts, aiding in faster and more accurate information retrieval.

Semantic Scholar is an AI-powered research tool designed to simplify the discovery and analysis of scientific literature. By using natural language processing and machine learning, the platform provides highly relevant results and concise summaries of academic papers. Researchers can manage their reading lists, explore citations, and discover influential papers quickly and efficiently. Semantic Scholar indexes over 200 million academic papers, making it a comprehensive resource for researchers across various fields.

Researcher AI Agent Front-End is an open-source React application providing a user interface for an AI-driven research assistant. It supports natural language queries for literature searches, connects to academic databases such as Semantic Scholar or arXiv via API, and retrieves metadata, abstracts, and full-text content where available. The front-end displays search results in an organized dashboard, allows filtering by year or relevance, and presents AI-generated summaries highlighting key findings. Users can export references in popular bibliography formats like APA, MLA, and BibTeX. With modular components and responsive design, the platform simplifies literature review tasks and enhances research productivity.