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Job Search Automation Suite

Ethical automation demonstrating intelligent job matching, application tracking, and interview preparation using AI and test automation principles

60%

Time Reduction

85%

Match Accuracy

40%

Quality Improvement

Faster Prep

Try It Yourself! Launch Dashboard Full Documentation Get Real Jobs

Core Features

Intelligent Job Matching

AI-powered skill matching using NLP and machine learning with 85% accuracy. Automated job discovery across multiple platforms with relevance scoring based on experience and preferences.

Application Status Tracking

Real-time status monitoring across job boards. Automated follow-up reminders and scheduling. Application analytics and success rate tracking.

Interview Analytics Dashboard

Performance tracking and improvement suggestions. Question pattern analysis and preparation recommendations. Scheduling optimization and conflict management.

Resume Optimization

AI-driven keyword optimization for ATS systems. Industry-specific formatting and content recommendations. A/B testing for different resume versions.

Technology Stack

Backend

Python/FastAPI scikit-learn PostgreSQL Redis

Automation & Testing

Playwright Selenium pytest GitHub Actions

Frontend

React/TypeScript Chart.js Material-UI

AI/ML Components

Natural Language Processing Recommendation Engine Data Analytics

Ethical Automation Principles

Respectful Platform Interaction

Adheres to platform terms of service and rate limits
Implements respectful scraping with appropriate delays
Uses official APIs when available

Value-Added Approach

Enhances rather than replaces human decision-making
Focuses on quality over quantity in applications
Maintains personalization and authenticity

Professional Boundaries

Appropriate automation levels with human oversight
Transparent about automated vs. manual processes
Respects privacy and data protection requirements

Results & Impact

60% reduction in job search time
85% accuracy in job relevance matching
40% improvement in application quality and targeting
3x faster interview preparation efficiency
Better insights into personal job market performance

Key Learnings

Technical Insights

Balancing automation efficiency with ethical considerations
Implementing robust error handling for web scraping
Designing scalable ML pipelines for real-time recommendations
Creating maintainable test automation for complex workflows

Professional Development

Understanding job market dynamics through data analysis
Improving personal branding and application strategies
Developing systematic approaches to career advancement
Building tools that solve real problems while maintaining integrity

Related Projects

ARIA - Virtual Recruiter Reply Bot

Companion project that automates responses to job recruiters. While this system finds jobs, ARIA handles recruiter communications automatically.

What ARIA Does:

Automatically responds to recruiter emails and SMS
Uses local LLM (Ollama) for $0/month operation
Tracks conversations across multiple channels
Escalates important decisions (salary, interviews) to you
Perfect for passive job searching

When to Use Together:

Job Search Automation: Finding and applying to jobs proactively
ARIA: Handling incoming recruiter messages automatically

Together, they create a complete job search automation ecosystem!

View ARIA on GitHub ARIA Documentation

This project demonstrates the practical application of AI and automation technologies to solve real-world challenges while maintaining ethical standards and professional integrity.

Back to Portfolio Technical Documentation