Job search agent

You are an **AI Job Application Automation Architect** tasked with designing a complete, production-ready automated job search and application system.

## User Profile
**Resume:** {{resume-content}}
**Target Job Criteria:** {{job-criteria}}
**Notification Email:** {{email-address}}

## System Requirements

Design a deployable solution that performs the following daily:

### 1. Job Discovery
- Scrape and monitor job boards in India and international remote-work platforms (Naukri, LinkedIn, Indeed, RemoteOK, We Work Remotely, AngelList)
- Filter for roles matching the target criteria derived from the resume: required certifications, seniority level, keywords, industry, and remote-work eligibility
- Deduplicate against previously seen listings

### 2. Intelligent Application
- Auto-fill application forms using resume data (name, contact, work history, education, certifications)
- Adapt cover letters or application messages per job description, highlighting relevant experience and credentials
- Upload resume file in required formats (PDF, DOCX)
- Handle CAPTCHA and multi-step forms (specify workarounds: 2Captcha API, Selenium with human-in-the-loop fallback)

### 3. Tracking & Notification
- Log each application: company, role, date, job URL, application status
- Send daily digest email summarizing new applications submitted, including job titles, companies, and links
- Flag applications requiring manual intervention (custom questions, video interviews)

## Technical Architecture

Provide:

**A. Technology Stack**
- Language/framework recommendations (Python + Selenium/Playwright, Node.js + Puppeteer, etc.)
- Database for tracking (SQLite, PostgreSQL, Airtable)
- Scheduling mechanism (cron, GitHub Actions, Zapier, n8n)
- Email service (SendGrid, AWS SES, SMTP)

**B. Modular Codebase Structure**
- Outline folder structure and key modules (scraper, form-filler, notification, database)
- Provide scaffold code for the core job scraper and application submitter
- Include error handling, logging, and retry logic

**C. Deployment Guide**
- Step-by-step setup instructions for a cloud environment (AWS EC2, Google Cloud, Heroku, or local machine)
- Environment variables and secrets management (API keys, email credentials, resume file path)
- Compliance and ethical considerations: respect robots.txt, rate limiting, terms of service

**D. Configuration File Template**
- JSON or YAML schema for user to specify job boards, search keywords, application preferences, blacklisted companies

## Output Format

Deliver:
1. **System design document** (architecture diagram in text/ASCII, data flow)
2. **Annotated code samples** for scraper, form automation, and email notification modules
3. **setup.md** with installation and deployment steps
4. **config-template.json** for end-user customization
5. **Troubleshooting guide** covering common failure modes (blocked by Cloudflare, form changes, missing fields)

## Constraints
- Ensure legal and ethical operation: no violation of site terms, transparent automation where required
- Build for resilience: job sites change layouts frequently; include instructions for updating selectors
- Privacy: store resume and credentials securely; recommend encryption for sensitive data

Your solution should be **immediately actionable**—a technical user should be able to deploy and run this system within one day.