Google Vertex AI Hackathon

Welcome to Opening Stream for Google Cloud Vertex AI Hackathon! Join us for opening Talks and Hackathon Guide.

Hackathon Kick-Off

Ksenia Nekrasova and Katharina Beck from Google Cloud will open the Hackathon with inspirational words and onboarding into the Google Cloud products

Google Cloud's Opening

We will guide you through the website, and Discord community - to make sure you will succeed at the Hackathon 

Hackathon Guide

Let's go through the Technology for the Hackathon and how you can get access to it.

Technology and Challenge

Alex Erfurt, the representer of Google Cloud will join the stage to guide you through the AI models and the use cases for your Hackathon projects 

Guide into Google Cloud

After the Kick-Off stream, focus on finding your team for the Hackathon and start brainstorming your idea!

Team Formation time!

5-min tutorial for non-tech participants on the creation of GitHub account

GitHub for non-tech participants

Start of the Team Formation

Join Q&A space on lablab.ai Discord server for open session to discuss any questions you may have

Open Q&A with mentors

Submission Deadline

Peppermint

troythari

Artifex1

Jacob R

Our project is centered around designing an innovative Natural Language Processing tailored to process and understand financial data. To achieve this, we're utilizing artificial intelligence technologies provided by Google, and harnessing rich data from the U.S. Securities and Exchange Commission (SEC). We've chosen Google's PaLM 2 as our main NLP model due to its state-of-the-art capabilities in language interpretation. NLP, an AI discipline, empowers computers to comprehend and interact with human language. With its understanding of language nuances, PaLM 2 can interpret and process financial documents, and it can then fetch and rephrase information to the user. At the heart of our project are SEC filings, including forms 10-K, 10-Q, and 8-K. To ensure our system always accesses the most recent data, we're tapping into the SEC's EDGAR system. EDGAR, or Electronic Data Gathering, Analysis, and Retrieval system, is a digital database provided by the SEC. This platform is where all U.S. publicly traded companies are mandated to submit their regulatory filings. These documents are essential sources of financial data. The 10-K form provides a comprehensive annual overview of a company's financial performance. The 10-Q form updates on the company's financial status on a quarterly basis, while the 8-K reports unscheduled material events or corporate changes that could be significant to shareholders or the SEC. Through processing these forms, our system can extract crucial financial details for each company, such as revenue, net income, and cash flow. This extraction is invaluable for investors, analysts, and financial institutions who need the most current, detailed financial information to make informed decisions. In addition, these filings are often hundreds of pages long, so an LLM that integrates directly into the source of the filing can efficiently fetch relevant information for our users. 

Our project is a natural language processor for earnings report filings of publicly listed companies. Users can interact and chat with our project as if they were talking about a friend over a certain stock.

"Peppermint team on Google Vertex AI Hackathon Hackathon"

Team Idea

Submission