AI Papers Summarizer

The AI Research Paper Summarizer was designed as a tool for researchers, students, and enthusiasts looking to stay updated on the latest advancements in AI. The core feature of the platform is its ability to provide detailed summaries of research papers, highlighting key points such as the abstract, key terms, consumer vs. enterprise applications, and mentions of major AI companies or models like OpenAI, GPT-4, or Anthropic. Users can search for papers using a keyword-based search feature that filters the results in real time. Once a paper is found, users can view a brief overview and choose to generate a detailed summary using an AI-powered summarization engine. Summaries are generated dynamically, but once created, they are cached in JSON format to ensure that they are not regenerated every time a paper is revisited. The site is designed with usability in mind. Research papers are presented in a clean, card-based layout, featuring paper details like authors, publication date, and upvotes. Each card has buttons for reading the full paper or generating/opening the summary. Additionally, the UI includes features like dark mode toggling, pagination, and a "Summarize All" button for quick comparisons across multiple papers. The project leverages modern web technologies like Bootstrap for responsive design and advanced APIs for seamless AI integration.