Elsa 3.0 is an advanced personal assistant designed to leverage cutting-edge language models and web scraping technologies. Powered by the LLAMA 3 language model, Elsa 3.0 provides intelligent support to enhance decision-making across various domains. It combines book and product recommendations with PDF summarization to offer comprehensive assistance in discovering new reads, finding the best deals, and quickly understanding documents.
Current features of the system include GoodReads recommendations through Google search integration, which finds GoodReads pages with similar books and scrapes book information, and LLM-based recommendations using the LLAMA 3 model. Amazon product scraping collects detailed product information and also uses the LLAMA 3 model for recommendations and follow-up queries. Local PDF summarization leverages PyPDFLoader and load_summarize_chain for creating summaries, while text summarization handles .txt files directly with LLAMA 3. Future features will include operating system integration for file and application management, a chat feature for communication with other Elsa users, a dedicated user interface for enhanced interaction, and a desktop launcher for easy access to Elsa 3.0 functionalities.
