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

dodoai

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Large American corporations like United Airlines take millions of customer calls especially during holiday seasons when there are large amounts of delays. Current voice assistant in their customer service only makes me angry every time and I always yell “talk to an agent” at the first most moment.

An intelligent voice customer service solution powered by LLMs and AI will have the following value propositions and competitive advantages: 1) improve efficiency in processing customer requests with intelligence. It could handle much more tasks than the current ones and redirect sophisticated to the right department in a much higher accuracy. For a break of high demand in rebooking during holiday seasons, the intelligent assistant could integrate with the booking system and scale much better than call centers. This could save large enterprises billions of dollars while improving customer satisfactions. 2) Currently there are a lot of products that help small businesses to automate a text chatbot. Voice customer service is a much more personal experience and saves customers from texting. Large enterprise is also a much more lucrative market.

The revenue model could be a large installation fee for us to help integrate the system into the enterprise system, and a small service fee based on the quantity of services going forward.

The global call center sector earns >$100bn annually. The current voice bots used by US firms are primitive and painful. With cutting-edge AI, a smart voice bot can boost efficiency and scalability, saving billions while increasing customer satisfaction.

"dodoai team on Google Vertex AI Hackathon Hackathon"

Team Idea

Submission