DeepSeek Harness Remote
DeepSeek Harness Remote 可將手機或另一台電腦與你運行 DeepSeek Harness 的電腦安全連接,隨時隨地繼續你的工作,方便隨時查看進度並繼續工作。
AI 翻譯
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一分鐘完成驗證AI-powered career command center: application pipeline, skills vault, network CRM and interview prep (Next.js, Supabase, Gemini)
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取自儲存庫 README
正在載入完整 README。
檢視完整 README ↗A command center for a job search: track applications, keep a reusable profile, manage your network, and prepare for interviews with an AI assistant on top of your own data.
| Module | Purpose |
|---|---|
| Apply Hub | Application pipeline as Kanban stages, with job-description intelligence |
| Bio-Vault | Acquired skills with supporting evidence and a growth roadmap, with skill matching against job descriptions |
| Network CRM | Contacts and referrals, with AI-assisted profile parsing |
| Interview Guide | Generates interview answers from your own profile, with answer-length control and keyword highlights |
| Orchestrator | An AI assistant that plans and executes actions across the modules from a chat prompt |
| Ops Watch | Admin area with its own login and connection logs |
Each user's workspace is private to their account through Supabase Row Level Security.
@google/generative-ai, with a planner/executor orchestrator (src/lib/ai)src/lib/ai holds the orchestrator: a prompt and JSON schema for the plan, a normalizer that repairs model output, and an executor that runs the plan against the database.parse-model-json) because LLMs return malformed JSON more often than expected.supabase/. npm run db:provision bundles and applies them.NEXT_PUBLIC_* variables are exposed.git clone https://github.com/alisfand99/CareerHub.git
cd CareerHub
npm install
cp .env.example .env.local # then fill in your own Supabase and Gemini keys
npm run dev # http://localhost:3005
Optional: npm run db:provision creates the tables in your Supabase project, and supabase/seed_dummy.sql loads sample data.
Working prototype built for personal use. Not yet deployed as a public service.