JobHunter — AI-Powered Job Search Platform

JobHunter is an AI-driven platform designed to simplify and automate the job search process, helping users discover, track, and manage job opportunities more efficiently.

The product focuses on reducing the friction of traditional job hunting by combining job discovery, application tracking, and AI-powered assistance into a single, streamlined experience.

A smart job listings interface with filtering and tagging

A tracking system to manage application stages (saved, applied, interviews)

A reporting dashboard that visualizes progress and response rates

A profile system used to generate tailored applications using AI

The dashboard provides users with a quick overview of their activity, while the reporting section translates raw data into meaningful insights, helping users understand their performance and improve their strategy.

From a UX perspective, the design prioritizes clarity, speed, and focus.

The interface uses a structured layout, subtle color hierarchy, and card-based components to make navigation intuitive and reduce cognitive load.

This project explores how AI can shift job searching from a manual, repetitive task into a guided, data-driven experience.