Giving the AI Assisted Job Search a Local Brain

Description and use

JobSearch consolidates international job search, evaluation, and preparation into a single dashboard, letting users choose between hosted and local AI models while maintaining data privacy.

Problem

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.

Outcome

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

Workflow

• 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

Evidence

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.