BenAI Research Assistant is an AI-driven browser extension tailored to meet the needs of researchers and scientists. Its primary purpose is to facilitate the exploration of vast scientific literature, allowing users to quickly acquire insights and distill important information. The tool offers features such as intelligent search suggestions, contextual summaries, and integration with academic databases, enabling users to streamline their research process while maintaining accuracy and efficiency.

SummarizePaper is a web service leveraging cutting-edge AI technology to provide fast, concise, and accurate summaries of academic papers from the arXiv repository. Focused on making scientific literature more accessible, it helps researchers, students, and professionals save time while staying informed. By generating easy-to-read summaries, SummarizePaper simplifies the process of exploring and understanding the vast landscape of scientific research, thereby enhancing productivity and ensuring that users can easily grasp the core findings and insights from complex papers.

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.