Title: Detailed Analysis Report on Online Job Portal

Table of Contents:

1. Introduction

2. Project Overview

3. Objectives

4. System Requirements

5. System Architecture

6. Functional Requirements

7. Non-Functional Requirements

8. Use Case Diagrams

9. Entity-Relationship (ER) Diagram

10. Database Design

11. User Roles and Permissions

12. User Interface Design

13. Implementation Strategy

14. Technologies Used

15. Security Considerations

16. Testing Strategies

17. Challenges and Solutions

18. Future Enhancements

19. Conclusion

20. References

1. Introduction

The Online Job Portal is a web-based application developed using Django to connect job seekers with
employers. The system provides a structured platform where job seekers can apply for jobs,
employers can post job openings, and administrators can manage the entire process efficiently.

2. Project Overview

This project is designed to streamline the hiring process, reduce paperwork, and enhance
accessibility for job opportunities. The platform enables user-friendly job searching, application
tracking, resume uploads, and interview scheduling.

3. Objectives
  To develop a job portal that connects job seekers and employers.

 To provide a secure and structured platform for job applications.

 To simplify the recruitment process through automated features.

 To facilitate resume storage, job matching, and employer-employee communication.

4. System Requirements

Hardware Requirements:

 Server with a minimum of 8GB RAM and 100GB storage.

 Internet-enabled devices for users.

Software Requirements:

 Django (Python Framework)

 PostgreSQL/MySQL Database

 HTML, CSS, JavaScript for front-end

 Bootstrap or Tailwind for UI styling

5. System Architecture

The system follows a three-tier architecture:

 Presentation Layer: Handles user interactions.

 Application Layer: Processes business logic.

 Database Layer: Stores job postings, resumes, and applications.

6. Functional Requirements

 User authentication and authorization.

 Job posting and search functionalities.

 Resume upload and management.

 Employer dashboard for job management.

 Application tracking system.

 Interview scheduling.

7. Non-Functional Requirements

 Scalability to accommodate a growing number of users.

 Secure handling of user data.

 Responsive UI for different devices.

 Fast response time for searches and applications.

8. Use Case Diagrams

9. Entity-Relationship (ER) Diagram

A diagram showing the relationships between users, jobs, applications, and resumes.

10. Database Design

Tables include:

 Users (id, name, email, role, password)

 Jobs (id, title, description, employer_id, location, salary)

 Applications (id, job_id, user_id, resume_id, status)

 Resumes (id, user_id, file_path, skills)

11. User Roles and Permissions

 Admin: Full system access and management.

 Employer: Posts jobs, reviews applications, and schedules interviews.

 Job Seeker: Searches jobs, applies, and tracks application status.

12. User Interface Design

 Job listings page with filters.

 Application tracking dashboard.

 Resume upload and profile management.

 Employer dashboard for job postings.

13. Implementation Strategy

The development follows an Agile methodology with iterative releases.

14. Technologies Used

 Django Framework

 PostgreSQL Database

 JavaScript for interactivity

 Bootstrap for styling

15. Security Considerations

 Secure login with password encryption.

 HTTPS implementation for secure communication.

 Input validation to prevent SQL injection.

16. Testing Strategies

 Unit testing for individual modules.

 User acceptance testing (UAT) before deployment.

17. Challenges and Solutions

Challenges include managing large numbers of job postings and user applications. Solutions involve
implementing efficient search and indexing mechanisms.

18. Future Enhancements

 AI-based job recommendations.

 Video-based interview integration.

 Mobile application development.

19. Conclusion

The Online Job Portal simplifies recruitment by connecting job seekers with employers in an efficient,
user-friendly, and secure manner.

20. References

Citations and references to relevant documentation and sources used in the project.

Software Requirements Specification (SRS) for Online Job Portal

Table of Contents:

1. Introduction

o Purpose

o Document Conventions

o Intended Audience and Reading Suggestions

o Product Scope

o References

2. Overall Description

o Product Perspective

o Product Functions

o User Classes and Characteristics

o Operating Environment

o Design and Implementation Constraints

o Assumptions and Dependencies

3. Specific Requirements

o Functional Requirements
 o Non-Functional Requirements

o External Interface Requirements

o System Features

4. System Models

o Use Case Models

o Entity-Relationship Diagrams

o Sequence Diagrams

o Data Flow Diagrams

5. Design Constraints

o Regulatory Policies

o Hardware Limitations

o Reliability Requirements

o Security Requirements

6. Appendices

7. Index

1. Introduction

1.1 Purpose

The Online Job Portal is a web-based system developed using Django to facilitate job searching and
recruitment. It provides a platform where job seekers can apply for jobs, employers can post job
openings, and administrators can manage the entire process efficiently.

1.2 Document Conventions

This document follows IEEE SRS standards.

1.3 Intended Audience and Reading Suggestions

 Employers

 Job Seekers

 Administrators

 Developers and Testers

1.4 Product Scope

The system will provide:

 Secure job searching and application process.

 Employer job postings and candidate management.

 Interview scheduling and tracking.

1.5 References

 Django Framework Documentation

 IEEE Software Engineering Standards

 PostgreSQL/MySQL Database Guidelines

2. Overall Description

2.1 Product Perspective

The system acts as an intermediary between job seekers and employers, facilitating recruitment and
application tracking in an online environment.

2.2 Product Functions

 User Authentication and Authorization.

 Job Posting and Search Functionalities.

 Resume Upload and Management.

 Employer Dashboard for Job Management.

 Application Tracking System.

 Interview Scheduling and Notifications.

2.3 User Classes and Characteristics

 Administrator: Manages users, jobs, and overall system settings.

 Employer: Posts jobs, reviews applications, and schedules interviews.

 Job Seeker: Searches for jobs, applies, and tracks applications.

2.4 Operating Environment

 Web-based platform accessible via modern browsers.

 Compatible with Windows, macOS, and Linux.

2.5 Design and Implementation Constraints

 Must be developed using Django Framework.

 Secure file storage for resumes.

 Compliance with employment and data protection policies.

2.6 Assumptions and Dependencies

 Users must have internet access.

 The system will be managed by an administrator for role assignment.

3.1 Functional Requirements

 User Registration and Authentication.

 Job Posting and Editing by Employers.

 Job Search and Filtering by Job Seekers.

 Resume Upload and Storage.

 Application Tracking System.

 Employer Dashboard with Candidate List.

 Interview Scheduling and Communication System.

3.2 Non-Functional Requirements

 Scalability to support large user bases.

 Secure user data handling.

 Responsive UI for mobile and desktop users.

 Fast search and filtering capabilities.

3.3 External Interface Requirements

 RESTful API for third-party integrations.

 Email/SMS notifications for job updates.

3.4 System Features

 Role-Based Access Control.

 Employer and Job Seeker Dashboards.

 Automated Email Notifications.

 AI-Based Job Recommendations.

4. System Models

4.1 Use Case Models

 Illustrate the interactions between job seekers, employers, and administrators.

4.2 Entity-Relationship Diagrams

 Show relationships between Users, Jobs, Applications, and Resumes.

4.3 Sequence Diagrams

 Depict the step-by-step process of job posting, application, and hiring.

4.4 Data Flow Diagrams

 Represent data flow across system components.

5.1 Regulatory Policies

 Compliance with GDPR and employment laws.

5.2 Hardware Limitations

 Server with at least 8GB RAM and 100GB storage.

5.3 Reliability Requirements

 99.9% uptime guarantee.

5.4 Security Requirements

 Password encryption and secure authentication.

 HTTPS communication for data security.

6. Appendices

Additional technical documentation.

7. Index

Alphabetical list of key terms used in this document.