VerAIzon

VerAIzon brings chatbots to Verizon products. Using the OpenAI API, our AI simplifies the user experience by guiding the user toward the product that best fits their needs through dynamic user input.

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Inspiration

What it does

Our VerAIson website contains a chatbot that allows users to ask questions and discover Verizon products best suited to their needs.

How we built it

We used an implementation of OpenAI's gpt-3.5-turbo model to create a chatbot. We trained this chatbot using LangChain, feeding it information from the official Verizon website. Using FastAPI, we set up a server and API endpoints to connect the back-end to the front-end. In our front-end, we used React, Next.js, and Tailwind CSS to create a web application with an UI that allows users to send and receive information to and from the chatbot.

Challenges we ran into

finding an AI language model to implement, building a framework handle communication between the front-end and the back-end, finishing by the deadline

What we learned

how to train an AI with LangChain, how to build a website using modern frameworks like React and Next.js, how to create an API using FastAPI, how to collaborate using Microsoft Live Share in VS Code

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