Automated Intelligent Job Tracking and Matching Platform
Developed a sophisticated Automated Job Search and Matching Platform designed to analyze job market data and provide quantifiable skill-based compatibility reports using advanced technical processes.
Project Gallery
Project Demo Video
Project Documentation
About this project
Developed a sophisticated Automated Job Search and Matching Platform designed to analyze job market data and provide quantifiable skill-based compatibility reports using advanced technical processes.
The platform encompasses multiple technical components working seamlessly together:
Data Acquisition Pipeline and Configuration Management
Implemented robust Job Data Integration & Crawling functionality, establishing connections to multiple job listing sources to continuously fetch the latest postings. Designed a detailed Crawler Configuration interface for managing automated job crawling and monitoring, allowing for customizable parameters such as Crawl Interval (e.g., 60 seconds) to ensure continuous data ingestion.
Natural Language Processing (NLP) and Keyword Generation
Utilized advanced NLP techniques to analyze and extract granular content from diverse job descriptions. This analysis capability facilitates the automatic generation of relevant keywords (e.g., zip code, skills, and qualifications) necessary for efficient filtering and matching.
Automated Search and Scoring Engine
Developed an Automated Search & Scoring mechanism that calculates the compatibility of a candidate profile against job postings based on user-defined personalized filter setups (including required skills and qualifications). The platform utilizes underlying Technical Details models (such as gpt-4o-mini) to power its detailed analysis and reporting functions.
Quantifiable Skill and Experience Assessment
Provided detailed reports featuring Field Matches with specific, measurable data points, such as Skills (80%), Experience (70%), Certifications (0%), and Qualifications (100%). The system highlights specific Candidate Strengths, such as strong skills in Agile methodologies (Scrum, SAFe) and proficiency in project management tools like Jira and Azure DevOps. It also precisely identifies Candidate Gaps related to specific technical requirements, such as lacking the required PMP certification or missing knowledge in areas like Cybersecurity Compliance (NIST, HIPAA).
Key Highlights
- Implemented robust automated job crawling system with configurable intervals (60 seconds) for continuous data ingestion
- Developed NLP-powered analysis engine extracting skills, experience, and qualifications from job descriptions
- Created quantifiable skill assessment system with detailed match percentages (Skills, Experience, Certifications, Qualifications)
- Built intelligent candidate-job matching algorithm using GPT-4o-mini for detailed analysis
- Designed comprehensive candidate assessment reports highlighting strengths and identifying gaps
- Established multi-source job data integration pipeline with real-time monitoring capabilities
- Implemented user-customizable filter system for personalized job matching preferences