Description: The main entry point for users, providing access to different features and functionalities of the system.
Technology Stack:
Frontend and Backend: Next.js
Next.js will be used for both the client-side and server-side rendering, offering seamless transitions and improved performance.
Dashboards:
Employer Dashboard:
Description: A dashboard specifically designed for employers, offering tools and insights for managing job postings, applicant tracking, and other employer-related tasks.
Employee Dashboard:
Description: Tailored for employees, this dashboard enables access to personal information, benefits, and company-related resources.
Candidate Dashboard:
Description: Geared towards candidates, this dashboard facilitates job search, application tracking, and communication with employers.
Admin Dashboard:
Description: Reserved for administrators, this dashboard grants oversight and control over system configurations, user management, and other administrative functions.
Shared Backend:
All user roles (candidate, employee, employer, admin) will interact with a single backend system.
API Endpoints: RESTful APIs or GraphQL can be used to handle data fetching and operations.
Authentication: Implement JWT or OAuth for secure user authentication across all roles.
Server-Side Components:
Next.js Server: This will handle both the frontend and backend logic.
Database: Use a scalable MongoDB database solution to store user data, job postings, application statuses, etc.
Caching: Implement caching mechanisms (e.g., Redis) to enhance performance for frequently accessed data.
General Backend Purpose:
Automation Tasks:
Job Posting Automation: Automatically publish job listings at scheduled times.
Notification:
Description: Manages and delivers notifications to users regarding important events, updates, or actions within the system.
Candidate Notifications: Send reminders and updates to candidates about application statuses.
Employer Alerts: Notify employers about new applications and candidate updates.
Scheduled Tasks:
Cron Jobs: Use cron jobs for regular maintenance tasks, data backups, and periodic reports.
Queue System: Implement a task queue (e.g., RabbitMQ) to manage and execute background tasks efficiently.
Operational Tasks:
Monitoring and Logging: Utilize tools like New Relic or ELK stack (Elasticsearch, Logstash, Kibana) for real-time monitoring and logging of system activities.
Error Handling: Implement robust error handling mechanisms to capture and resolve issues quickly.
Messenger:
Description: Provides real-time messaging capabilities, allowing users to communicate with each other or with automated systems.
AI Machine Learning and NLP Features:
Description: Integrates artificial intelligence, machine learning, and natural language processing technologies to enhance system functionalities, such as recommendation engines, sentiment analysis, or language understanding.
Backend:
Description: The backbone of the system, responsible for processing requests, managing data, and orchestrating interactions between different microservices.
Portal Infrastructure
├── Portal (Next.js)
│ └── Main entry point for users
│
├── Dashboards
│ ├── Employer Dashboard
│ │ └── Manage job postings and applicant tracking
│ ├── Employee Dashboard
│ │ └── Access personal information and resources
│ ├── Candidate Dashboard
│ │ └── Job search and application tracking
│ └── Admin Dashboard
│ └── System configurations and user management
│
├── Shared Backend
│ ├── API Endpoints (RESTful APIs or GraphQL)
│ ├── Authentication (JWT or OAuth)
│ ├── Database (MongoDB)
│ └── Caching (Redis)
│
├── Server-Side Components
│ ├── Next.js Server
│ ├── Database (MongoDB)
│ └── Caching (Redis)
│
├── General Backend Purpose
│ ├── Automation Tasks
│ │ ├── Job Posting Automation
│ │ └── Notification System
│ │ ├── Candidate Notifications
│ │ └── Employer Alerts
│ ├── Scheduled Tasks
│ │ ├── Cron Jobs
│ │ └── Queue System (RabbitMQ)
│ ├── Operational Tasks
│ │ ├── Monitoring and Logging (New Relic, ELK stack)
│ │ └── Error Handling
│ ├── Messenger
│ └── AI Machine Learning and NLP Features
Portal Infrastructure:
Technology Stack:
Dashboards:
Employer Dashboard:
Employee Dashboard:
Candidate Dashboard:
Admin Dashboard:
Shared Backend:
Server-Side Components:
General Backend Purpose:
Automation Tasks:
Scheduled Tasks:
Operational Tasks:
Monitoring and Logging: Utilize tools like New Relic or ELK stack (Elasticsearch, Logstash, Kibana) for real-time monitoring and logging of system activities.
Error Handling: Implement robust error handling mechanisms to capture and resolve issues quickly.
Messenger:
AI Machine Learning and NLP Features:
Backend: