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@BigDataIA-Spring2025-4

BigDataIA-Spring2025-4

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  1. DAMG7245_Assignment01 DAMG7245_Assignment01 Public

    A Streamlit-based app with a FastAPI backend for extracting structured data (text, images, tables) from websites and PDFs. Processed data is stored in AWS S3 and rendered in a markdown-standardized…

    Jupyter Notebook

  2. DAMG7245_Assignment02 DAMG7245_Assignment02 Public

    SECBridge is a high-performance financial data pipeline that automates the extraction, transformation, validation, and visualization of SEC financial statement data. Built with Snowflake, Apache Ai…

    Jupyter Notebook

  3. DAMG7245_Assignment03_Part01 DAMG7245_Assignment03_Part01 Public

    DAMG7245_Assignment03-Part01

    Python

  4. DAMG7245_Assignment03_Part02 DAMG7245_Assignment03_Part02 Public

    Jupyter Notebook

  5. DAMG7245_Assignment04_Part01 DAMG7245_Assignment04_Part01 Public

    Jupyter Notebook

  6. DAMG7245_Assignment04_Part02 DAMG7245_Assignment04_Part02 Public

    The project develops an AI system to automate the retrieval and analysis of NVIDIA’s financial reports, using Apache Airflow and a Streamlit interface for data exploration and custom document uploads.

    Jupyter Notebook

Repositories

Showing 9 of 9 repositories
  • Venture-Scope Public
    BigDataIA-Spring2025-4/Venture-Scope’s past year of commit activity
    Python 0 MIT 0 0 0 Updated Apr 10, 2025
  • DAMG_Hackathon_Research_Application Public
    BigDataIA-Spring2025-4/DAMG_Hackathon_Research_Application’s past year of commit activity
    Jupyter Notebook 0 0 0 0 Updated Apr 1, 2025
  • DAMG7245_Assignment05_Part01 Public

    NvidiaFinRAG: Dynamic Multi-Agent is a dynamic pipeline that provides specific curated information based on the user’s specific queries regarding Nvidia’s financial dataset. It utilizes Langchain as its foundation and operates with three distinct agents to serve its knowledge base.

    BigDataIA-Spring2025-4/DAMG7245_Assignment05_Part01’s past year of commit activity
    Jupyter Notebook 0 MIT 0 9 0 Updated Mar 28, 2025
  • DAMG7245_Assignment04_Part02 Public

    The project develops an AI system to automate the retrieval and analysis of NVIDIA’s financial reports, using Apache Airflow and a Streamlit interface for data exploration and custom document uploads.

    BigDataIA-Spring2025-4/DAMG7245_Assignment04_Part02’s past year of commit activity
    Jupyter Notebook 0 MIT 0 0 0 Updated Mar 21, 2025
  • DAMG7245_Assignment02 Public

    SECBridge is a high-performance financial data pipeline that automates the extraction, transformation, validation, and visualization of SEC financial statement data. Built with Snowflake, Apache Airflow, FastAPI, and Streamlit, it enables efficient ETL processing, structured data storage, and API-driven access for financial analysis.

    BigDataIA-Spring2025-4/DAMG7245_Assignment02’s past year of commit activity
    Jupyter Notebook 0 MIT 0 4 1 Updated Mar 19, 2025
  • DAMG7245_Assignment04_Part01 Public
    BigDataIA-Spring2025-4/DAMG7245_Assignment04_Part01’s past year of commit activity
    Jupyter Notebook 0 MIT 0 1 0 Updated Mar 14, 2025
  • DAMG7245_Assignment03_Part02 Public
    BigDataIA-Spring2025-4/DAMG7245_Assignment03_Part02’s past year of commit activity
    Jupyter Notebook 0 MIT 0 0 0 Updated Feb 28, 2025
  • DAMG7245_Assignment03_Part01 Public

    DAMG7245_Assignment03-Part01

    BigDataIA-Spring2025-4/DAMG7245_Assignment03_Part01’s past year of commit activity
    Python 0 0 0 0 Updated Feb 21, 2025
  • DAMG7245_Assignment01 Public

    A Streamlit-based app with a FastAPI backend for extracting structured data (text, images, tables) from websites and PDFs. Processed data is stored in AWS S3 and rendered in a markdown-standardized format. APIs are deployed on Google Cloud Run Service

    BigDataIA-Spring2025-4/DAMG7245_Assignment01’s past year of commit activity
    Jupyter Notebook 0 MIT 0 2 0 Updated Jan 31, 2025

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