A modern job matching platform built with React and AWS services that helps connect job seekers with their ideal opportunities.

Michael Ip : Backend + AWS Justin Le : Backend + AWS Nicholas Hoang : Frontend

• React 18
• TypeScript
• Redux Toolkit & Zustand for state management
• TailwindCSS for styling
• Framer Motion for animations
• React Router for navigation
• AWS Amplify for authentication

• AWS Lambda for serverless functions
• AWS DynamoDB for database
• AWS S3 for file storage
• AWS Bedrock for AI/ML capabilities
• AWS Textract for document processing
• OpenSearch for search functionality
• Python with boto3 for AWS integration
• LinkedIn Jobs Scraper for job data collection

• Node.js (v16 or higher)
• Python 3.8+
• AWS Account with appropriate permissions
• AWS CLI configured locally
• LinkedIn account for job scraping

1. Clone the repository:

git clone https://github.com/Jainormus/MatchMeMaybe.git
cd MatchMeMaybe

2. Install frontend dependencies:

npm install

3. Install Python dependencies:

pip install -r requirements.txt

4. Configure AWS credentials:

   • Set up your AWS credentials in ~/.aws/credentials
   • Configure environment variables in .env file

5. Configure LinkedIn credentials:

   • Add your LinkedIn credentials to the environment variables
   • Ensure you have the necessary permissions for job scraping

6. Start the development server:

npm start

• Frontend runs on http://localhost:3000
• Backend services are deployed to AWS
• Use npm run build to create production build

• /src - Frontend React application
• /backend - AWS Lambda functions
• /python - Python scripts and utilities
• /lambda-deploy - Lambda deployment configurations
• /public - Static assets

The platform uses LinkedIn Jobs Scraper to collect job data:

• Automated job listings collection
• Regular updates of job opportunities
• Data processing and storage in DynamoDB
• Integration with the matching algorithm

1. Create a new branch for your feature
2. Make your changes
3. Submit a pull request