Home / Companies / Vonage / Blog / Post Details
Content Deep Dive

Build an AI Wardrobe with Vonage Messages API (RCS) and Gemini

Blog post from Vonage

Post Details
Company
Date Published
Author
Amanda Cavallaro
Word Count
1,469
Company Posts That Month
11
Language
English
Hacker News Points
-
Post removed?
No
Summary

Amanda Cavallaro, a Developer Advocate, presents a project that allows users to create an AI-powered digital wardrobe assistant using Vonage Messages API and Google Gemini API. By leveraging Rich Communication Services (RCS), users can text a bot to display images of their clothes, addressing the common issue of forgetting wardrobe contents. The tutorial requires setting up a Vonage API account, Node.js, and configuring webhooks through ngrok for seamless connectivity. The project involves creating a Vonage application, managing environment variables, and using a JSON file to store wardrobe data, which Gemini processes based on user queries. The RCS messages are then sent as Rich Card Carousel Messages displaying relevant clothing items. The tutorial encourages users to explore various RCS message types and provides resources for further learning and community engagement.

Trends Found in this Post
Trend Post Mentions Total Month Mentions Posts Companies MoM
Real-time 3 6,551 1,245 236 +61%
Use This Data

Use this post, company, and trend context to find content marketing opportunities, perform competitive analysis, or address product feature gaps via the Plushcap MCP server or the Plushcap API.