Project

AI Job Application Tracker

A full-stack job application tracking platform that helps users manage applications, analyze job posts, generate cover letters and track application status.

Next.jsTypeScriptTailwind CSSPrismaPostgreSQLOpenAI APIJWT Auth

Main Features

• User authentication with login and registration
• Job application CRUD management
• AI-powered job analysis
• AI-generated cover letter support
• Application status tracking
• Responsive dashboard UI

Technical Overview

This project was built to demonstrate practical full-stack engineering skills, including frontend architecture, reusable UI components, data handling, authentication, API integration and production-ready project structure.

Technical Challenges

• Handling authentication and protected routes using JWT and middleware in Next.js App Router.
• Managing async AI responses while keeping the UI responsive and maintaining generated content state.
• Designing reusable and scalable frontend components for job management and AI-related features.
• Integrating Prisma with PostgreSQL and handling schema generation and database connection issues.
• Balancing AI functionality with API cost considerations and conditional feature rendering.

Future Improvements

• Implement real-time collaboration features for shared job tracking.
• Add Kanban drag-and-drop support for application workflow management.
• Introduce AI-powered resume optimization and interview preparation tools.
• Improve caching and loading performance for AI-generated responses.
• Add user analytics and application insights dashboard.