Daryl Roberts

Daryl Roberts

Aspiring AI/ML Engineer | Tensorflow | Computer Vision | Langchain | Military Veteran | Data Science | Python | SQL | Pytorch | Sci-kit Learn

Arxiv Research Assistant

Check out the project here

Tools Used:

API Integration, Information Retrieval, Remote Downloading, Web Scraping(Beautiful Soup), Requests(API/Source Code Interaction), HTML understanding, Unstructured Document Processing, Langchain, Streamlit, Session State Management, Prompt Engineering, Prompt Chaining, Text Embeddings, RAG Database management, Retrieval via Embeddings Similarity Search, File Handling and Management

Summary:

  • Developed an AI-powered Arxiv Research Assistant: Leveraged advanced technologies such as Retrieval-Augmented Generation (RAG), Langchain prompt chaining, and intelligent agents to find and summarize relevant research papers based on natural language queries.
  • Integrated OpenAI’s GPT-3 for Natural Language Processing: Utilized OpenAI’s API for refining user queries, generating concise summaries, and making intelligent recommendations.
  • Implemented Iterative Document Processing and Retrieval: Used PyPDFLoader for PDF processing and FAISS for efficient document similarity searches, ensuring high relevance in research paper retrieval.
  • Built Interactive Web Application: Designed and deployed a Streamlit-based web application to provide an intuitive interface for researchers, enabling seamless interaction with the AI assistant.