Resume Engine

• Responsive Design

AWS EC2 Instance Setup

1. Create an AWS Account:

   • If you don't have an AWS account, sign up for one at AWS Console.

2. Access AWS Console:

   • Log in to the AWS Management Console.

3. Navigate to EC2 Dashboard:

   • In the AWS Management Console, navigate to the "EC2 Dashboard."

4. Launch an Instance:

   • Click on "Launch Instance" to create a new EC2 instance.

5. Choose an Amazon Machine Image (AMI):

   • Select an Ubuntu Server AMI (choose the latest Ubuntu LTS version).

6. Choose an Instance Type:

   • Select the "t2.medium" instance type from the list.

7. Configure Instance:

   • In the "Configure Instance Details" section, you can leave most settings as default.
   • Optionally, you can configure details like IAM role, user data, etc.

8. Add Storage:

   • In the "Add Storage" section, set the storage size to 20 GB.

9. Add Tags (Optional):

   • Add any tags you want to help identify your instance.

10. Configure Security Group:

• • If there isn't an existing rule for your application, add a new rule to allow TCP traffic for your application's port (e.g., 5000).
• Type: Custom TCP Rule
• Add Port : 8080 (or the port your application uses)
• Source: 0.0.0.0/0 (Allow traffic from anywhere)

11. Review and Launch:

• Review your instance configuration and click "Launch."

12. Create a Key Pair:

• Choose an existing key pair or create a new one. This key pair is essential for SSH access to your instance.

13. Launch Instance:

• Click "Launch Instance."

14. Access Your EC2 Instance:

• Once the instance is running, use the generated key pair to SSH into your instance. Example:

  ssh -i /path/to/your/key.pem ubuntu@your-instance-ip

Prerequisites

• get your api key from https://ai.google.dev/pricing

Make sure you have installed all of the following prerequisites on your development machine:

• Node Js & Npm Download and Install
• MongoDB Download and Install
• Git Download and Install

Node.js and npm Versions

This project is developed and tested using the following versions of Node.js and npm:

• Node.js: 18.16.1
• npm: 9.51.1

Node js

1. Install NVM as your regular user:

   curl -o- https://raw.githubusercontent.com/nvm-sh/nvm/v0.39.1/install.sh | bash

2. Load NVM into the shell:

   source ~/.nvm/nvm.sh

3. Install the desired Node.js version:

   nvm install 18.16.1

npm install

nvm install 9.5.1

MongoDB Atlas Setup

1. Create MongoDB Atlas Account:

   • Go to MongoDB Atlas and sign up for an account.

2. Create a New Cluster:

   • Once logged in, click on "Build a Cluster" to create a new MongoDB cluster.

3. Configure Cluster:

   • Follow the on-screen instructions to configure your cluster. Choose your preferred cloud provider, region, and other settings.

4. Database Access:

   • In the left sidebar, navigate to "Database Access" under the Security section. Create a new database user and remember the credentials.

5. Network Access (Whitelist IP Address):

   • In the left sidebar, navigate to "Network Access" under the Security section.
   • Click on "Add IP Address" and add your current IP address to allow your local development environment to connect to the database.
   • Optionally, you can set "0.0.0.0/0" to allow connections from any IP address , but this is less secure or set you specfic ip.

6. Connect to Your Cluster:

   • In the left sidebar, click on "Clusters" and then on your cluster's "Connect" button.
   • Choose "Connect Your Application" and copy the connection string.

Environment Variables

To run this project, you will need to add the following environment variables to your .env file in server directory

PORT = 5000

MONGO_URL

SITE_URL

JWT_PRIVATE_KEY

GEMINI_API_KEY

MAIL_EMAIL

MAIL_SECRET

MAIL_SERVICE

MONITOR_EMAIL

CC_EMAIL

RECAPTCHA_SECRET_KEY # Get from google RECAPTCHA SECRET KEY

To run this project, you will need to add the following environment variables to your .env.local file in client directory

VITE_CLIENT_ID #Google login api client id VITE_SITE_KEY ## Get from google RECAPTCHA SITE KEY

Run Locally

Clone the project

  git clone https://github.com/bayesianinstitute/resume_engine.git

##To Start BackEnd

Go to the server directory

  cd server

Install dependencies

  npm install

Start

  npm start

##To Start FrontEnd

Go to the client directory

  cd resume

Install dependencies

  npm install

Build

   npm run build

Send dist folder in server

   cp -r dist ../server

Start

   npm run preview