NodeExamProject

Overview

NodeExamProject is a web application that consists of a client and server. The client is built with Svelte and Vite, and the server is built with Node.js and Express. This project includes functionalities for user authentication, session management, XSS prevention, and a machine learning model for fruit prediction.

Features

• User Authentication
• Session Management
• XSS Prevention
• Fruit Prediction using a Machine Learning Model

Project Structure

NodeExamProject-master/
├── .env.sample
├── .gitignore
├── LICENSE
├── README.md
├── request.rest
├── client/
│   ├── .gitignore
│   ├── README.md
│   ├── index.html
│   ├── jsconfig.json
│   ├── package-lock.json
│   ├── package.json
│   ├── svelte.config.js
│   ├── vite.config.js
│   ├── public/
│   │   ├── Justchattingbanner.png
│   │   ├── facebook-icon.png
│   │   ├── github-icon.png
│   │   ├── icon.png
│   │   ├── linkedin-icon.png
│   │   ├── twitter-icon.png
│   ├── src/
│   │   ├── App.svelte
│   │   ├── app.css
│   │   ├── main.js
│   │   ├── vite-env.d.ts
│   │   ├── components/
│   │   ├── routes/
│   │   ├── services/
│   │   ├── stores/
│   │   ├── util/
├── server/
│   ├── app.js
│   ├── database.db
│   ├── fruit_model.h5
│   ├── package-lock.json
│   ├── package.json
│   ├── predict.py
│   ├── train_model.py
│   ├── database/
│   ├── routers/
│   ├── util/

Installation

Prerequisites

• Node.js
• npm

Steps

1. Clone the repository

   git clone https://github.com/ErdalErdem/NodeExamProject.git
   cd NodeExamProject-master

2. Install server dependencies

   cd server
   npm install

3. Install client dependencies

   cd ../client
   npm install

4. Setup environment variables

   • Copy .env.sample to .env in the server directory and fill in the required values.

Usage

Running the Server

Navigate to the server directory and start the server:

cd server
nodemon app.js

Running the Client

Navigate to the client directory and start the client:

cd client
npm run dev or sudo npm run dev

API Endpoints

User Authentication

• POST /api/auth/register: Register a new user.
• POST /api/auth/login: Login a user.

Session Management

• GET /api/session: Check user session.

Fruit Prediction

• POST /api/predict: Predict the type of fruit.

XSS Prevention

• POST /api/xss: Check for XSS vulnerabilities.

Machine Learning Model

The machine learning model for fruit prediction is located in server/fruit_model.h5 and is utilized by the predict.py script.

Contributing

1. Fork the repository
2. Create your feature branch (git checkout -b feature/fooBar)
3. Commit your changes (git commit -m 'Add some fooBar')
4. Push to the branch (git push origin feature/fooBar)
5. Create a new Pull Request

License

This project is licensed under the MIT License - see the LICENSE file for details.