Project Title: Online Job Portal for Alumni Network
Category: Web Application
Project File: Download Project File
Muhammad Tahir Jan
tahir.jan@vu.edu.pk
mtahirjan@outlook.com
Online Job Portal for Alumni Network
Project Domain / Category
Web Application.
Abstract / Introduction
In the evolving landscape of educational institutions, maintaining a strong connection with alumni is vital for career development and networking opportunities. This web-based platform will serve as a bridge between alumni, current students, and employers, facilitating job postings, applications, and professional networking. The portal will allow alumni to share career opportunities, students to seek internships or jobs, and employers to post vacancies, fostering a mutually beneficial ecosystem.
The system will feature a secure login for different user types (alumni, students, employers), profile management with resume uploads, and a job matching mechanism based on skills and experience. It will include an admin dashboard for oversight, ensuring data integrity and generating reports on job trends or user activity.
Functional Requirements:
A set of functional requirements for the proposed system includes the following:
User Authentication and Role Management
Secure login and registration for three user types: alumni, students, and employers, with role-based access control.
Password reset and account verification via email.
Admin access to manage all user accounts and resolve disputes.
Profile Creation and Management
Users can create detailed profiles including education, skills, experience, and contact information.
Upload and update resumes or portfolios as PDF files.
Option to mark profiles as public or private for visibility control.
Job Posting and Application System
Employers and alumni can post job listings with details (title, description, location, salary range, skills required).
Students and alumni can apply to jobs with a click, attaching their resume.
Application status tracking (e.g., applied, shortlisted, rejected) visible to applicants and employers.
Job Search and Matching Algorithm
Search functionality with filters (e.g., job type, location, skills) to find relevant opportunities.
Basic matching algorithm to suggest jobs based on user profile data (e.g., matching skills or experience).
Bookmarking feature for users to save preferred job listings.
Notification System
Email notifications for new job postings, application updates, or system alerts (e.g., using Django’s email backend).
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In-app notifications for real-time updates on application status or new matches.
Admin Dashboard and Reporting
Admin interface to approve or reject job postings and user registrations.
Generate reports on job statistics (e.g., number of postings, applications per month) and user activity.
Export reports as CSV or PDF files for archival purposes.
User Interaction and Feedback (Optional)
Message system for users to communicate directly (e.g., employer to applicant inquiries).
Feedback form for users to report issues or suggest improvements, logged for admin review.
Data Security and Backup (Optional)
Implement basic security measures (e.g., input validation, CSRF protection) to safeguard user data.
Periodic database backup feature for data integrity, accessible to admins.
Important Notes:
The project assumes basic familiarity with Django and web development concepts.
A mock email server (e.g., console backend) can be used for testing notifications if external email services are unavailable.
Students should document the matching algorithm logic and database schema for clarity during evaluation.
The optional features (User Interaction and Feedback, Data Security and Backup) are advanced and can be implemented based on student interest or time availability, ensuring a comfortable learning pace.
Tools:
Python (mandatory for Django framework).
Django (web framework with built-in auth and admin).
PostgreSQL or SQLite (database for storing user and job data).
HTML/CSS/JavaScript with Bootstrap (for responsive frontend design).
ReportLab or Django’s built-in templating (for PDF/CSV exports).
Django-allauth or similar (for enhanced authentication).
Supervisor:
Name: Muhammad Tahir Jan
Email ID: tahir.jan@vu.edu.pk
MS Teams ID: mtahirjan@outlook.com
No schedules available for this project.
No reviews available for this project.