Users can upload academic or research-based PDF files. These documents are securely stored and preprocessed for information extraction.
The server parses and indexes the PDFs using NLP techniques and vector embeddings (like FAISS or other models) to prepare for efficient question-answering.
Users can ask questions in natural language related to the uploaded content. The system intelligently interprets the query and searches relevant content.
Using language models, the system returns a contextual answer from the uploaded document. Users get results almost instantly in a chat format.
Users can clear the chat, delete specific PDFs, or continue asking more questions without re-uploading files.
✨ All powered by advanced AI + NLP + PDF extraction pipelines.