eternal-security's Introduction

Eternal Security

This project utilizes Express.js and Google's Generative AI to create an image analysis agent. The agent is capable of recognizing differences between two images and describing them. If a person is detected in the images, it provides a description; otherwise, it returns "no intruder."

Installation

Clone the repository:
```
git clone <repository-url>
```
Navigate to the project directory:
```
cd eternal-security
```
Install dependencies:
```
npm install
```
Set up environment variables:

Create a .env file in the root directory and add your Google Generative AI API key:
```
API_KEY=your-api-key
```

Usage

Start the server:
```
npm start
```
Access the application through a web browser or send POST requests to the /api/submit-images endpoint with two images to analyze.

API Endpoints

POST /api/submit-images: Uploads two images and analyzes the differences between them.
- Request Parameters:
  - image1: The first image file.
  - image2: The second image file.
- Response:
  - Status: 200 OK
  - Body: JSON object with a message describing the differences between the images.

Configuration

MODEL_NAME: The name of the generative model to use for text generation.
API_KEY: Your Google Generative AI API key. Make sure to set this as an environment variable.

Folder Structure

uploads/: Stores uploaded images.
public/: Contains static files served by Express.js.
README.md: Documentation for the project.
app.js: Main application file.
package.json: Contains project metadata and dependencies.

Dependencies

express: Fast, unopinionated, minimalist web framework for Node.js.
multer: Middleware for handling multipart/form-data, used for file uploads.
@google/generative-ai: Google's Generative AI package for text generation and conversation modeling.

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