ResNova is a browser-based application that helps anyone doing research, whether a student or a professional, manage a whole set of papers from a single place. Users can upload PDF documents, and the system processes each paper once, saving its textual content, segments, metadata, and reference list. All subsequent activities, such as searching for information, conducting a literature review, comparing papers, analyzing citations, identifying research gaps, writing proposals, drafting reports, tracking evidence, and planning the execution of research, are carried out using the stored data. This ensures that no data needs to be re-entered multiple times. Many existing research tools either store data or provide chat-based interaction, but they often do not clearly indicate the source of specific information. In ResNova, every result is linked to its source, along with the exact page and paragraph where it was found. The citation network is built entirely from parsed reference data and metadata, using standard algorithms to calculate PageRank, betweenness centrality, and connected components, ensuring the generated graph remains consistent. Google Gemini (and Groq in the Defense Lab) is used exclusively for tasks that are reviewed by researchers, and any issues with the provider are reported as errors rather than being concealed. The platform is built using React, Vite, and Tailwind CSS, with the server running on Node.js and Express.js. Data is stored in PostgreSQL, and user authentication is handled with JSON Web Tokens and bcryptjs. The goal of ResNova is to support researchers rather than replace their thinking by keeping all materials organized and easily traceable.

Prof. M. Santhosh, Prof. R. Lalitha, Mr. A. Benito Kenric Rowan, "RESNOVA: AI-Powered Research Intelligence Platform" International Journal of Scientific Research and Engineering Development, V9(5): Page(1868-1876) September - October 2026. ISSN: 2581-7175. www.ijsred.com. Published by Scientific and Academic Research Publishing.