Building a Shazam for food with Strapi, Astro and OpenAI

preshenv commented 2 months ago

What is your article idea?

The article will focus on building a “Shazam for Food” application using Strapi, Astro, and OpenAI. The application will allow users to upload images of food, identify the dish using OpenAI’s image recognition capabilities, and then fetch and display relevant information such as recipes, nutritional data, and nearby restaurant recommendations. The article will guide readers through the entire process, from setting up the backend with Strapi, configuring the frontend with Astro, and integrating OpenAI’s API for food image recognition.

The article will cover:

Project Setup:

Setting up Strapi as the headless CMS to store recipes, nutritional information, and user profiles.
Configuring Astro to serve as the static site generator for the frontend.

Image Recognition Integration:

Integrating OpenAI’s API to recognize and classify food images.
Handling API responses and using the data to query the Strapi backend for relevant information.

Building the User Interface:

Creating a user-friendly interface with Astro for image uploads, displaying search results, and showing detailed information about dishes.
Implementing real-time search and suggestions based on user input.

Advanced Features:

Adding user authentication and profile management to save search history and favorite dishes.
Implementing a recommendation system for restaurants based on identified dishes.

What are the objectives of your article?

The key objectives of this article are:

Understanding the Integration of Strapi, Astro, and OpenAI:

Readers will learn how to connect a headless CMS (Strapi) with a static site generator (Astro) and integrate AI-powered image recognition using OpenAI’s API.

Practical Implementation of a Complex Application:

The article will provide a step-by-step guide to building a real-world application, allowing readers to see the practical application of these technologies.

Enhancing Web Development Skills:

Readers will improve their web development skills by learning how to handle API integrations, manage state, and optimize performance in a modern web application.

Building AI-Powered Features:

The article will teach readers how to implement AI-powered features such as image recognition and contextual data retrieval, expanding their knowledge of AI integration in web projects.

By the end of the article, readers will have the knowledge and confidence to build and deploy a sophisticated, AI-powered web application that leverages the strengths of Strapi, Astro, and OpenAI.

What is your expertise as a developer or writer?

Intermediate

What type of post is this?

Tutorial

Terms & Conditions

[X] I have read the Write for the Community program guidelines.

Theodore-Kelechukwu-Onyejiaku commented 2 months ago

Hi @preshenv ,

This sounds interesting. When you say "nearby restaurant recommendations", are you planning on using an API, like Google API?

Are you also willing to use Strapi 5?

preshenv commented 1 month ago

Hello @Theodore-Kelechukwu-Onyejiaku , I will focus on building Shazam for food, we won't be integrating Google API.

I will also use Strapi 5

Theodore-Kelechukwu-Onyejiaku commented 1 month ago

Hi @preshenv ,

Since you have interest in Astro related topics, would you be willing to write on ""How to build an Image gallery App with Astro and Strapi"?

If so, could you please create a new article suggestion? We are not interested in this one you proposed.

strapi / community-content