ResumeForge AI — AI Career Tools Platform

The challenge

Job seekers bounce between five different sites for resume checks, cover letters, and interview practice. Each tool has a different account, a different quality bar, and a different idea of what 'ATS-friendly' means. We wanted one cohesive product where the tools share context — the same resume feeds the checker, improver, and cover letter generator — with scoring that reflects how real applicant tracking systems behave.

Our solution

ResumeForge AI is a Next.js application with six tools behind one navigation model. Qwen powers generation and analysis; ATS scoring uses rules informed by common parser behavior. Users can move from audit to improved resume to export without re-uploading files repeatedly.

How we approached it

• Shared resume parsing layer normalizes input once and pipes structured data to each tool.
• Prompt templates are versioned per tool so we can tune tone and length without cross-contamination.
• Server actions and API routes keep API keys off the client; rate limits protect inference costs.

Results

• Six integrated AI tools on one platform
• ATS-oriented scoring and improvement flows
• Production deployment on Vercel
• Cohesive UX across resume, cover letter, and interview prep

Technologies used