AI 求职助手 — 智能化求职面试准备平台 | Panoramic Intelligence
AI Job Assistant (AI 求职助手) is a free browser-based job search and interview preparation workspace built by Panoramic Intelligence. It bundles resume parsing, JD-aware match scoring, mock interview practice, behavioural-question coaching, and job-tracker dashboards into a single tool aimed at students, mid-career switchers, and developers preparing for technical loops.
Who it is for
Engineers preparing for system design and behavioural rounds, recent graduates building their first targeted resume, and professionals exploring a role transition who want a structured workspace instead of fifteen browser tabs.
Core features
- Resume × Job Description matcher — paste a JD and your resume; the assistant scores keyword alignment, surfaces missing competencies, and rewrites bullets in STAR format.
- Mock interview simulator — voice or text mode, adaptive follow-up questions, red flags highlighted, and a transcript exported for review.
- Behavioural question library — Amazon LP, Meta values, Google Googleyness, and FAANG-style prompts with example structures.
- Application tracker — Kanban of companies, statuses, recruiter contacts, follow-up reminders, and outcome analytics.
- Tailored cover-letter generator — produces a one-page draft from your resume bullets and the JD.
How it works
The frontend is a Vite + React single-page app served from panor.tech/job/. The backend is a FastAPI service that calls Volcano Engine Ark for inference. No data leaves your account; resumes are stored only in your authenticated workspace and can be deleted at any time from the Settings panel.
Frequently asked questions
Is it free? Yes — the core resume matcher and mock interview features are free. Premium plans for unlimited mock sessions are listed at panor.tech/pricing.
Does it support Chinese resumes? Yes — the matcher and interview practice support both English and Simplified Chinese, including bilingual JDs.
What about privacy? See our privacy policy; resumes are processed for matching only and not used for model training.
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