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

RONG

Ruben Tak

nilsjenn

oanottage

This project revolves around the development of a research assistant using the Google Vertex AI Palm2 platform. The aim is to streamline the process of searching for and accessing academic papers from Google Scholar, providing researchers with a user-friendly and efficient tool. The research assistant is implemented as a Streamlit application, allowing users to input their search specifications and navigate through Google Scholar seamlessly.

One of the key features of the research assistant is its automatic scraping functionality. Once the user provides their search criteria, the application scours Google Scholar across multiple pages, retrieving relevant papers. The scraped papers are then organized into a comprehensive dataframe, providing researchers with a structured overview of the available literature. Additionally, the application also selects and provides downloadable PDF versions of the papers, making it convenient for users to access and read the full content.

To further enhance the capabilities of the research assistant, it integrates with Google Vertex AI and Langchain. Google Vertex AI is a powerful machine learning platform that enables users to leverage advanced AI models and tools. By integrating with Vertex AI, the research assistant allows researchers to create a knowledge base from the downloaded papers, enabling them to extract insights and answer questions related to the content.

Langchain, another crucial component, provides additional functionality for knowledge extraction. It offers a range of AI models and tools specifically designed for language processing and analysis. Integrating Langchain with the research assistant expands its capabilities, allowing researchers to delve deeper into the papers and extract valuable information.


This project provides a powerful tool for researchers, enabling them to easily search for and download academic papers from Google Scholar. Allowing users to create a knowledge base from the downloaded papers and answer questions regarding the content.

"RONG team on Google Vertex AI Hackathon Hackathon"

Team Idea

Submission