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

Building a financial advisor that demystifies stock investing by providing real-time updates, dynamic visuals, and data insights. An accurate, cost-effective alternative to existing financial AI Agents, leveraging Google Vertex AI and MongoDB Vector Search.

Alien Cat

Yuchen Pan

arthurxin

gchen

aliceyh7

SunnyYuan

yuh221

The world of investing is complex and overwhelming, especially for those without a finance background. In particular, the prevalence of inaccurate and obsolete data often lead investors to uninformed decisions. While some existing financial AI agents attempt to mitigate this problem, they heavily rely on internet scraping, a method that is not only costly but also prone to inaccuracies and hallucinations

"StockSage AI," our smart chatbot, simplifies financial market navigation by providing personalized, real-time advice and data visualizations. Leveraging Google Vertex AI and MongoDB, StockSage offers a cost-effective, accurate alternative to traditional AI tools.

The core features of StockSage AI include:
1. Chat Interface: Users can ask personalized queries 
2. Data Visualizations: Displays market trends and prices with colorful and intuitive graphics
3. Real-time Analysis: Bot evaluates reliable news data, updated multiple times daily
4. Efficient AI Search: Leverages databases over web scraping for acquiring information, optimizing cost and accuracy

The first step in building our solution was to collect and analyze data from reliable sources. We embedded news and price information, then used Google Vertex AI's Text Generation and Text Embedding Services to analyze trends.

Next, we used MongoDB as our database to store and retrieve this data. MongoDB's Vector Search feature allowed for efficient data retrieval, preventing AI hallucinations and providing a friendlier interaction model for AI agents. 

Finally, we used Google Vertex AI's Text Generation Service to handle client requests.  When users interact with the chatbot, their request is dispatched to Vertex AI. Vertex AI retrieves the data from our MongoDB database before formulating a response to the user.

In a world inundated with information, we hope our project can be a beacon of clarity and reliability to provide users with personalized insights, as they make more informed financial decisions.

Financial advisor that demystifies stock investing by providing real-time updates, dynamic visuals, and data insights. An accurate, cost-effective alternative to existing financial AI Agents, leveraging Google Vertex AI and MongoDB Vector Search.

"Alien Cat team on Google Vertex AI Hackathon Hackathon"

Team Idea

Submission