LinkedIn-Job-Summarizer

LinkedIn Job Feedback Summarizer, which analyses all the feedback from different users on a job posting and gives a summary!

Steps to Set Up the Project

Part 1: Set Up Amazon EC2 Instance

1. Log in to AWS Console:

   • Go to AWS Console and log in with your credentials.

2. Search for EC2:

   • Use the search bar to find "EC2" and click on the EC2 service.

3. Launch an EC2 Instance:

   • Click on "Launch Instance" to start creating an EC2 instance.
   • Configure the instance as required (e.g., Amazon Linux AMI).
   • Create a key pair for SSH access and download the .pem file.

4. Start the Instance:

   • After configuration, click "Launch Instance" and wait for the instance to start.
   • Ensure the status is "Running" before proceeding.

5. Configure Security Group:

   • Go to the "Security" tab of your instance.
   • Edit inbound rules to allow:
     • Custom TCP, port 5000, and source as "My IP" for security.
   • Save the rules.

6. SSH into the EC2 Instance:

   • Open a terminal and use the command:

     ssh -i <key_pair_name.pem> ec2-user@<public_ip_address_of_the_ec2_instance>

   • Replace <key_pair_name.pem> with your key file and <public_ip_address> with the instance's IP address.

7. Install Required Software:

   • Run the following commands:

     sudo yum update -y
     sudo yum install python3 -y
     python3 -m ensurepip --upgrade
     pip3 install flask nltk boto3

Part 2: Deploy Python API Service

Steps to Address <give_> Placeholders Before Uploading api.py to EC2

The api.py script includes several placeholders (<give_region>, <give_secret_key>, <give_access_key>, <give_bucket_name>) that need to be replaced with appropriate values for the script to work correctly. Here's how to address each of them:

1. AWS Region (<give_region>):

   • Replace <give_region> with the AWS region where your S3 bucket is hosted. For example, us-west-1 or us-east-2.

2. AWS Secret Key (<give_secret_key>):

   • Replace <give_secret_key> with the Access Key ID of your IAM user.

3. AWS Access Key (<give_access_key>):

   • Replace <give_access_key> with the Secret Access Key of your IAM user.
   • Ensure you create a dedicated IAM user with permissions to access S3 and provide its credentials here.

4. S3 Bucket Name (<give_bucket_name>):

   • Replace <give_bucket_name> with the name of your S3 bucket where feedback data will be stored.

Steps to Replace the Values

1. Open api.py in any text editor.
2. Locate the placeholders (<give_...>) in the following lines:

   s3 = boto3.client('s3', region_name='<give_region>',
                     aws_access_key_id='<give_secret_key>',
                     aws_secret_access_key='<give_access_key>')
   BUCKET_NAME = "<give_bucket_name>"

3. Replace the placeholders with actual values. For example:

   s3 = boto3.client('s3', region_name='us-west-1',
                     aws_access_key_id='YOUR_ACCESS_KEY_ID',
                     aws_secret_access_key='YOUR_SECRET_ACCESS_KEY')
   BUCKET_NAME = "my-feedback-bucket"

4. Save the file.

Additional Precautions

• Ensure the IAM user has the required permissions:
  • Access to the S3 bucket.
  • Permission to perform GetObject and PutObject operations.
• Keep the keys secure and avoid hardcoding them in the script if possible. Consider using AWS SDK with environment variables or IAM roles for better security practices.

Proceed with EC2 Deployment

After replacing the placeholders:

1. Use the scp command to upload the updated api.py to the EC2 instance.

2. Continue with the steps to install dependencies and start the Flask server.

3. Transfer API Code:

   • Use scp to transfer the api.py file to the EC2 instance:

     scp -i <key_pair_name.pem> api.py ec2-user@<public_ip_address_of_the_ec2_instance>:/home/ec2-user

4. Run the API:

   • SSH into the instance and navigate to the directory with api.py.
   • Start the API service:

     python3 api.py

   • Verify the server is running.

Part 3: Set Up Chrome Extension

1. Load the Extension:

   • Unzip the LinkedIn Job Feedback folder.
   • Go to Chrome > Extensions and enable "Developer mode."
   • Click "Load unpacked" and select the unzipped folder.

2. Update IP Address:

   • Open background.js in the extension folder.
   • Update the IP address at lines 13 and 28 to the EC2 instance's public IP.

3. Test the Extension:

   • Visit LinkedIn's job page to see if the feedback textbox is injected.
   • Verify the API connection and S3 integration based on the project description.

Notes:

• Each time the EC2 instance restarts, update its public IP in background.js and API connection settings.
• Refer to the documentation for S3 storage and summary display functionality in the extension.