AI Job Application Agent-Smarter Job Hunting

Searching and applying for jobs is often a tiring and repetitive process. Candidates spend countless hours scanning job boards, adjusting resumes, and drafting cover letters, which can be overwhelming and inefficient. Many great opportunities are missed simply because people cannot keep up with the workload. Our project tackles this by building an AI Job Application Agent powered by a modular multi-agent system. Each agent has a dedicated role: parsing resumes, searching job listings through APIs, ranking positions based on profile fit, and generating personalized cover letters with an LLM. A lightweight user interface ensures that candidates remain in control, they can review, approve, and decide whether to submit applications. The design emphasizes transparency and accountability, with every step logged. By combining automation with a user-in-the-loop approach, we make job applications both smarter and more efficient. Beyond the hackathon, the system can evolve into a premium service with integrations for LinkedIn, ATS platforms, multilingual support, and adaptive feedback loops that learn from successful applications. In short, our solution makes job hunting less stressful and more strategic, helping candidates focus on opportunities that truly matter.