Project Title: Job Application Tracker
Category: Web Application
Project File: Download Project File
Dr. Nida Anwar
nidaanwar@vu.edu.pk
nida.vu
Job Application Tracker
Project Domain / Category
Web-Based Application
Abstract / Introduction
Searching for jobs can be overwhelming, as candidates often apply to multiple organizations, each with different requirements, deadlines, and communication channels. Manually tracking the status of applications through spreadsheets or notes can lead to confusion and missed opportunities. The Job Application Tracker is a digital solution designed to help job seekers organize, monitor, and manage their applications in a structured and efficient manner. It will provide a centralized platform where users can log applications, track progress, receive reminders, and analyse their job search activities.
Functional Requirements:
User Management
User registration, login, and logout.
Profile management (basic information, career preferences).
Job Application Management
Add new job application with details (company, position, job link, date applied, contact).
Update or delete job applications.
Track application status (Applied, Screening, Interview, Offer, Rejected).
Attach and manage related documents (resume, cover letter, job description).
Dashboard & Reports
View summary of active, pending, and completed applications.
Display visual analytics (e.g., success rate, industry breakdown).
Search and filter applications by keywords, date, status, or company.
Reminders & Notifications
Set reminders for interviews, deadlines, and follow-ups.
Receive notifications via email or in-app alerts.
Document Management
Upload, store, and retrieve files securely.
Associate different resume/cover letter versions with applications.
Tools:
Frontend: React (Web), React Native (Mobile), PHP, C#.
Backend: Node.js with Express.
Database: PostgreSQL (relational) or MongoDB (document-based), SQL, MySQL.
Authentication: JWT (JSON Web Tokens).
Notifications: Firebase Cloud Messaging (mobile), SendGrid (email).
Note: The student may also use any tool of her/his own choice.
Supervisor:
Name: Dr. Nida Anwar
Email ID: nidaanwar@vu.edu.pk
MS Teams ID: nida_vu@outlook.com
No schedules available for this project.
No reviews available for this project.