AI Job Scraper and Resume Optimization System
An n8n-powered job discovery and application support system where a user submits a target role through Telegram. AI validates and refines the role, gathers opportunities, evaluates fit, and generates tailored resume content, proposals, and email drafts.
Business problem
A job seeker can lose time switching between job boards, role research, resume tailoring, proposal writing, and application tracking without a unified workflow.
What I built
A Telegram-triggered workflow validates the target role, refines the search category, extracts relevant job posts, scores fit, drafts tailored application content, and stores records for follow-up.
How I built the workflow
Submit target role
The user sends a role through Telegram.
Validate and refine
AI checks the query and improves the search category.
Collect jobs
The workflow gathers relevant job opportunities from configured sources.
Score fit
AI compares the job against target criteria and user profile data.
Draft application assets
The system prepares tailored resume notes, proposals, and email drafts.
Track applications
Records are stored with status, source, and duplicate checks.
Tools and integrations
Key features
- Telegram-based role submission
- AI query validation
- Job-category refinement
- Job-post extraction
- Job-fit scoring
- Resume tailoring
- Upwork proposal generation
- Email application generation
- Application tracking
- Duplicate detection
Intended impact
- Expected to centralize job discovery and application preparation.
- Expected to reduce repetitive resume and proposal drafting.
- Expected to make application status easier to track.
Project results
Centralized job search flow once data sources are finalized.
Tailored content generation without claiming completed performance metrics.
Challenges and resolutions
Avoiding generic AI output
Use structured prompts, explicit scoring criteria, and reviewable draft outputs.
Future improvements
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