Cloud9: Cloud Based Job portal ☁️

Revolutionizing recruitment with a cloud-based ATS for seamless job applications and efficient candidate selection

🖥️ Installation & Setup ⚙️

• Download the latest Node.js version from here and npm will be installed with nodejs.

• Clone the repository

  git clone <repo_link>

• Navigate to the project directory

• Install the required dependencies

  npm install

• Start the app

   npm start

• Runs the app in the development mode.
  Open http://localhost:3000 to view it in your browser.

▶️ Demo

To experience the functionality of our cloud-based Applicant Tracking System (ATS), follow the steps below:

User Registration and Login

• User Registration: New users can register by filling in their details, including name, email, and password. This initial setup creates a user profile within the system.

  

• User Login: Registered users can securely log in using their credentials, providing access to their personalized dashboard and features.

  

User Dashboard

• Dashboard Overview: After logging in, users are directed to a dashboard that displays all active job applications, personal details, and the status of each application.

  

• Job Search and Application: Users can browse available job listings, view details, and apply directly from the dashboard. The application process includes submitting a resume and other required information.

  

Admin Login and Dashboard

• Admin Login: Administrators log in using a secure, predefined account. The admin interface is protected by Amazon Cognito, ensuring secure authentication.

  

• Admin Dashboard: The dashboard provides a comprehensive overview of the platform's activity. Admins can manage job listings, view applicant information, and use advanced filtering tools to streamline the recruitment process.

  

• Job Management: Admins can create, update, and delete job postings. The system allows for easy modification of job details to keep listings current and accurate.

  

Advanced Filtering and Candidate Selection

• Filtering Mechanism: The system uses a serverless architecture with AWS Lambda to filter candidates based on predefined criteria. This includes analyzing resumes and application details to generate a similarity score.
• Top Candidates: The top candidates for each position are highlighted, allowing admins to focus on the best matches. This feature streamlines the selection process, making it efficient and accurate.

📋 Key Features

• User-Friendly Interface: The ATS platform features a sleek and intuitive design, making it easy for users to navigate and apply for jobs.
• Secure Authentication: Using Amazon Cognito, the system ensures secure and reliable user authentication, protecting user data.
• Comprehensive Admin Tools: Admins have full control over the job listings and can efficiently manage applications and candidates.
• Serverless Architecture: The application utilizes AWS services such as Lambda, S3, DynamoDB, and Elastic Beanstalk to deliver a scalable and reliable backend.
• Data Management: AWS S3 is used for storing resumes, while DynamoDB manages user and job data, ensuring efficient data retrieval and management.
• Email Notifications: Integrates with Amazon SES to automatically notify top candidates selected by the system, enhancing communication and engagement.

Technologies Used

Frontend

• React: Core library for building the user interface.
• Redux: State management for React applications.
• AWS Amplify: Platform for hosting the frontend and managing backend integrations.
• Material-UI: Component library for creating a consistent and responsive UI.

Backend

• Node.js: JavaScript runtime for backend development.
• Express: Web framework for building APIs and backend services.
• Mongoose: Object Data Modeling (ODM) library for MongoDB.
• JWT (jsonwebtoken): For authentication and authorization using JSON Web Tokens.

AWS Services

• AWS API Gateway: Manages API requests and routes them to backend services.
• AWS Lambda: Serverless compute service for executing backend logic.
• AWS Elastic Beanstalk: Deploys and manages the Node.js backend application.
• Amazon S3: Object storage service for storing files and data.
• Amazon DynamoDB: NoSQL database service for data storage and retrieval.
• Amazon Cognito: User authentication and management.
• AWS IAM: Manages user permissions and access to AWS resources.

🚀 Technical Details

💡 High-level System Architecture

Frontend

• React: The React application is maintained and deployed using AWS Amplify for enhanced security and performance.

Backend

• AWS Elastic Beanstalk: This service hosts the Node.js backend application, handling CRUD operations for job listings and user management.
• Amazon S3: Continued use for secure file storage, ensuring scalable data management.
• Amazon DynamoDB: Utilized for efficient data handling, managing user data, job postings, and application details.
• AWS Lambda: Specialized functions are maintained for operations like filtering candidates based on job requirements.

Security and Data Flow

• The architecture includes robust data flow management, ensuring secure and efficient data transfer between the frontend and backend services, with a focus on maintaining data integrity and user privacy.

🛠️ Low-level implementation details

Amazon API Gateway

Handles API requests from the React frontend, managing authentication and routing to AWS Lambda for backend processing.

AWS Elastic Beanstalk

Hosts the Node.js backend, facilitating CRUD operations for job listings and user management, with automated server management.

AWS Lambda

Executes serverless functions for tasks like filtering job applicants, triggered by API Gateway requests.

AWS DynamoDB

NoSQL database managing data across multiple tables, including users, jobs, and applications, ensuring efficient data storage and retrieval.

AWS S3

Primary storage for resumes and uploaded files, providing secure and scalable cloud storage.

Identity and Access Management (IAM)

Controls access to AWS resources, managing user permissions and ensuring secure access to services like DynamoDB and S3.

Contributors

Charan Gajjala Chenchu

Sachin Veeramalla

🎟️ License

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

📜 References & Acknowledgement

1. AWS Documentation
   Comprehensive documentation for all AWS services, providing detailed information on usage and best practices. AWS Documentation .

2. Lever Case Study
   A case study demonstrating the implementation of an ATS using AWS, highlighting practical applications and architecture. Lever Case Study .

3. Jobvite Blog - What is an Applicant Tracking System?
   An insightful article that explains the role and benefits of ATS in modern recruitment processes. Jobvite Blog .

4. Fresh Tech Talent ATS
   A GitHub repository showcasing an example of an ATS implementation using the MERN stack, demonstrating practical coding applications. Fresh Tech Talent ATS .

5. Job Portal MERN Stack Implementation
   A GitHub repository detailing a job portal built using the MERN stack, highlighting various functionalities and design considerations. Job Portal MERN Stack .

6. Building Serverless Applications
   A comprehensive guide to building serverless applications with AWS Amplify, API Gateway, Lambda, and Cognito, including deployment strategies. Building Serverless Applications .