AI Research Paper Retrieval Tool

I need an end-to-end AI solution that can locate, filter and deliver up-to-date scientific studies to research fellows on demand. The core idea is simple: a user enters a topic, keyword, DOI or even an abstract snippet and instantly receives the most relevant peer-reviewed papers, neatly ranked with key metadata and brief AI-generated summaries. To make that happen, the tool should draw from open databases such as PubMed, arXiv, Crossref and any other free or licensed sources you recommend, then apply NLP techniques—semantic search, named-entity recognition, topic clustering—to surface only the most pertinent results. A clean web interface or a lightweight desktop app is fine; what matters is accuracy, speed and an intuitive workflow for researchers who will be using it daily. Key deliverables • Source-code repository with clear documentation • Working search & retrieval engine connected to major scientific databases • AI module for relevance scoring and concise summary generation • Export options (BibTeX, RIS, plain text citation) • Installation guide plus a short video walkthrough I’m in no rush, so we can iterate methodically and build a robust product rather than a quick prototype. Let me know which stack you would choose, any API keys or data access I must supply, and how you plan to train or fine-tune the language models involved.