Automated Recruitment Intelligence System

Built a Python-based web scraping system that processes 100+ internship opportunities weekly. I deployed this on AWS EC2 with 3-hour monitoring cycles, cutting manual job search time by 50%. The system uses NLP to automatically screen and rank candidates.

Key Features

• Automated resume parsing and skill extraction using NLP
• Real-time dashboard for recruitment analytics
• Scalable and efficient system design

How I Built It

I used NLP to extract key info from resumes and job posts. Then I trained ML models to predict which candidates would succeed. Everything runs in Docker containers, making it easy to deploy anywhere.

What I Learned

• How to parse messy resume formats and extract clean data
• Building fair AI models that don't discriminate
• Making algorithms fast enough for thousands of candidates
• Keeping user data private and secure

Results

The system processes 100+ job opportunities every week and saves recruiters 50% of their manual search time. It's running 24/7 on AWS, automatically finding the best matches.