Transforming Image into Meaningful Words

In this blog, we will explore how to create a robust system for describe image into meaningful word descriptions using Kotlin and Spring Boot. This process integrates modern tools and frameworks like AI APIs (Gemini, ChatGPT), Redis caching, and reactive programming.

Step 1: The Controller

The controller exposes an API endpoint to accept requests for image descriptions. Here’s how it’s implemented:

• The endpoint accepts a POST request containing an image and account credentials.
• It validates the input and delegates the request to the query handler for further processing.

Step 2: The Query

The query encapsulates the data required to retrieve the image description.

• It ensures the necessary details like imageUrl and accountToken are provided.
• Structuring the data in a manner that is easily processed by the query handler.

Step 3: Query Handler

The query handler executes the core business logic. Its responsibilities include:

1. Cache Check:
   It checks if a cached description exists in Redis.
2. Database Retrieval:
   If no cached description is found, it retrieves the description from the database, if available.
3. API Call:
   If the description is neither in the cache nor the database, it calls the AI API to generate a new description.

Step 4: AI API Integration

The service interacts with the AI API to generate image descriptions.

Summary

This system shows how to use Kotlin, Spring Boot, and AI to turn image into word descriptions. By using caching and reactive programming, it works quickly and can handle a lot of requests. Whether you're creating an AI app or learning new tools, this setup is a great starting point.