01 / OVERVIEW
PROJECT OVERVIEW
Job Hunter AI is a project direction around job-offer acquisition, extraction, cleaning, storage and analysis.
Ranking and matching belong to the intended workflow where the current implementation supports those stages.
02 / USE CASES
OFFER WORKFLOW USE CASES
UC-01
COLLECT OFFERS
Bring job offers into one acquisition and processing workflow.
UC-02
EXTRACT STRUCTURE
Turn raw offer content into structured information that can be inspected and compared.
UC-03
NORMALIZE DATA
Clean and normalize offers so requirements and technologies follow a consistent shape.
UC-04
ANALYSE REQUIREMENTS
Inspect technologies and role requirements as part of the offer workflow.
UC-05
RANK / MATCH
Support ranking or matching offers against a target profile where that workflow is available.
UC-06
REDUCE MANUAL REVIEW
Make repetitive offer browsing more structured and easier to process.
03 / DATA FLOW
OFFER PROCESSING
Job offer processing path
- ACQUISITION
- EXTRACTION
- CLEANING
- STORAGE
- ANALYSIS
- RANKING / MATCHING
04 / SCOPE
CURRENT PROJECT SCOPE
STATE ACTIVE DEVELOPMENT
SCOPE INGESTION / PARSING / STRUCTURED DATA / AUTOMATION
BOUNDARY NO AUTONOMOUS APPLICATION CLAIM
05 / ENGINEERING
PROCESSING DECISIONS
E-01
INGESTION
Separate acquisition from later extraction and analysis stages.
E-02
NORMALIZATION
Give downstream comparison a consistent structured input.
E-03
RANKING
Keep matching as an explicit workflow stage instead of hiding it behind a broad claim.
06 / STATUS
PROJECT STATE
STATE ACTIVE DEVELOPMENT
TYPE DATA / AUTOMATION / ANALYSIS