Build an E-commerce product description generator using Gemini - Workshop| Geshan |Build With AI Syd
Science & Technology
Introduction
Thank you all for joining us for today's hands-on workshop focusing on building an e-commerce product description generator using Gemini. I'm Geshan Mandar, a Google Developer Expert (GDE) in Android and a Senior Software Engineer at Simply Wall Street. I've spent over a decade in the fashion e-commerce sector, spanning two continents, and today, I’m excited to share my knowledge with you.
Introduction
At its core, e-commerce can be simplified to the act of browsing physical products online, placing an order, and receiving the items at one’s doorstep. Today, we will dive into how to create a product description generator tailored for e-commerce using Gemini. Since this workshop focuses on practical application rather than theoretical discussions, let’s get started with the building process.
Understanding the Product Process
Before diving into the workshop, let’s briefly discuss the production process behind e-commerce products. Typically, each product undergoes a series of standardized steps before appearing on online platforms. This includes:
- Model Scheduling: Products are photographed with models wearing them (if applicable), ensuring high-quality images.
- Photo Shooting: Each product gets its moment during a photoshoot, leading to a collection of images for future use.
- Manual Writing: Once images are obtained, copywriters craft the product descriptions—a sometimes tedious and time-consuming task.
This is where tools like AI-driven product description generators come into play, streamlining the process and enhancing productivity while still retaining the human touch in terms of editing and brand voice.
Workshop Overview
Here’s how the workshop will proceed:
- Creating a Google Cloud Project: Set up an account and create a new project on Google Cloud.
- Enabling All Recommended APIs: This ensures that all necessary services for our project run smoothly.
- Using Vertex AI and Gemini: We’ll use Vertex AI to develop our product description generator, focusing primarily on utilizing Gemini Pro.
- Uploading Images: We will upload product images—these images can significantly influence the quality of the generated descriptions.
- Generating Descriptions: Using the uploaded images and a crafted prompt, we will generate convincing product descriptions.
The Hands-On Workshop
Setting Up
- Creating Your Project: Start by creating a new Google Cloud project. Ensure you select the trial billing account.
- Accessing Vertex AI: Search for ‘Vertex AI’ in the Google Cloud console and click to access it.
Uploading Product Images
Once your project is created, you will download the supplied zip file containing product images. Unzip and identify the images you wish to use.
Crafting the Prompt
The key to generating useful descriptions is crafting a good prompt. The prompt should articulate what the AI needs to accomplish while leaving out unnecessary details—like pricing.
Generating Descriptions
Once everything is set up, you’ll be able to generate descriptions that could effectively be used on an e-commerce platform.
Conclusion and Key Takeaways
- Gemini as a Tool: Remember that Gemini is just a tool designed to enhance your productivity.
- Explore More: This workshop serves as a foundational step. Explore its capabilities and how they can be applied to various scenarios.
- Solutions First, Tools Second: Focus initially on the problem you want to solve, and then identify the appropriate tools to implement your solution.
Thank you for your participation! For any further queries or help, feel free to approach me or any of the facilitators.
Keywords
- E-commerce
- Gemini
- AI
- Product Description Generator
- Vertex AI
- Image Upload
- Prompt Crafting
FAQ
Q1: What is the main goal of the workshop? The primary goal is to build an e-commerce product description generator using Gemini to streamline the process of writing product descriptions.
Q2: How do I access the necessary tools for the workshop? Participants are guided through setting up a Google Cloud project and accessing Vertex AI.
Q3: What kind of images should be used for product descriptions? It's recommended to use high-quality, copyright-free images for optimal results in description generation.
Q4: Can AI completely replace human copywriters? While AI can automate a significant portion of the writing process, human oversight remains crucial to ensure quality and brand voice.
Q5: How will generated descriptions be structured? The generated product descriptions will follow a prompt that highlights product features but excludes sensitive details, like pricing.