https://github.com/tigureis/imersao-dev_back_end

A Back End Development immersion program
https://github.com/tigureis/imersao-dev_back_end

gemini-api google-cloud java nodejs

Last synced: 1 day ago
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A Back End Development immersion program

• Host: GitHub
• URL: https://github.com/tigureis/imersao-dev_back_end
• Owner: tigureis
• Created: 2024-11-18T17:21:35.000Z (2 months ago)
• Default Branch: main
• Last Pushed: 2025-01-08T05:42:30.000Z (22 days ago)
• Last Synced: 2025-01-08T06:29:21.055Z (22 days ago)
• Topics: gemini-api, google-cloud, java, nodejs
• Language: JavaScript
• Homepage:
• Size: 716 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Imersao-Dev_Back_End

Instabase API: A Beginner's Node.js Backend Project

Project Overview

This Node.js project serves as a foundational example for building backend applications. It provides a simple implementation of a social media-like platform where users can create and manage posts with images and descriptions.

Key Functionalities:

Post Creation: Users can create new posts with images and descriptions.

Post Retrieval: Retrieves a list of all existing posts.

Post Update: Updates the description of an existing post.

Image Upload: Handles image uploads and stores them on the server.

AI-Powered Image Description: Utilizes the Google Cloud Generative AI service (Gemini) to generate descriptive text for uploaded images.

Technical Stack:

Node.js: The JavaScript runtime environment.

Express.js: A popular web framework for building APIs.

MongoDB: A NoSQL database for storing post data.

Multer: Middleware for handling file uploads.

Google Cloud Generative AI: For generating image descriptions.

How it Works:

Connection to MongoDB: The dbConfig.js file establishes a connection to the MongoDB database.

API Endpoints: The postsRoutes.js file defines the API endpoints for creating, retrieving, and updating posts, as well as uploading images.

Post Management: The postsController.js file handles the logic for these API endpoints, interacting with the database through the postsModels.js file.

Image Description Generation: The geminiService.js file leverages the Google Cloud Generative AI service to generate descriptive text for uploaded images.

Further Exploration:

Error Handling: Implement robust error handling mechanisms to gracefully handle exceptions.

Authentication and Authorization: Add user authentication and authorization to protect sensitive resources.

Security: Secure your application against common vulnerabilities like SQL injection and cross-site scripting (XSS).

Testing: Write unit and integration tests to ensure code quality and reliability.

Deployment: Deploy your application to a cloud platform like Heroku, AWS, or Google Cloud Platform.

By understanding the core components and functionalities of this project, you can build upon this foundation to create more complex and sophisticated backend applications.