LLM (GPT)| Pinecone| Reactjs| Tailwindcss| Flask
The AI-Powered Research Summarizer Portal enables users to upload academic papers and instantly extract structured insights, including summaries, key points, citations, and related research recommendations. Using PDF parsing, semantic chunking, and advanced LLM-based summarization, it delivers precise, context-aware results. A built-in Q&A interface allows interactive exploration of the content. Built with LLM (GPT), Pinecone, ReactJS, TailwindCSS, and Flask, this portal was one of my early delivered works, showcasing intelligent document analysis for researchers, students, and knowledge workers.
