Giving the AI Assisted Job Search a Local Brain

说明与用途

JobSearch 将国际求职搜索、评估和准备整合到一个仪表盘中，允许用户在托管和本地 AI 模型之间进行选择，同时保持数据隐私。

问题

Job seekers need a unified workspace to search, evaluate, and prepare for international job opportunities while maintaining control over personal data and AI model choice.

结果

Users can perform end‑to‑end job search and preparation within a privacy‑respecting, configurable environment, choosing between hosted or local AI models.

工作流

• Import PDF resume and review extraction
• Set country, role, sponsorship, and frequency preferences
• Select AI provider (hosted or local Ollama) and configure model
• Navigate to dashboard search workspace
• Enter natural‑language job query
• Server orchestrates discovery, verification, normalization, deduplication, and optional AI ranking
• Display results with evidence and explanations
• User reviews and decides whether to apply
• Optional future steps: resume matching, cover letter prep, interview prep

证据

The application should help people make better decisions, not make hundreds of noisy applications on their behalf.

The provider is explicit and configurable. API keys are stored server‑side and encrypted with AES‑256‑GCM; they are never returned to the browser.

After saving the provider, JobSearch takes the user to the dashboard search workspace. The model is now available for the parts of the workflow that need AI assistance.