docs: restructure roadmap and deliverables into phases
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# AugmentX – Job Market Data Platform
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# AugmentX – Job Market Intelligence Platform
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A data platform designed to collect verified job postings directly from official company career pages, transform them into clean and structured data, and provide transparent insights into job-market demand and skills trends.
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A Python-based job market intelligence platform designed to collect verified job postings directly from official company career pages and ATS platforms, transform raw postings into structured datasets, and generate actionable insights into hiring demand, role distribution, and skill trends.
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## Project Principles & Architecture
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- **Primary Data Source:** Official company career pages and Applicant Tracking Systems (ATS).
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- **Secondary Sources:** Job discovery platforms are used only to identify and locate official company career pages—not as sources for scraping job postings.
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- **Core Technology Stack:** Python, HTTP clients, HTML/JSON parsing, SQLite/PostgreSQL, and Pandas.
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- **Primary Data Sources:** Official company career pages and Applicant Tracking Systems (ATS).
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- **Secondary Discovery Sources:** Job discovery platforms are used exclusively to identify and locate official company career pages, not to scrape job postings.
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- **Core Technology Stack:** Python, Requests/HTTP clients, HTML/JSON parsing, SQLite/PostgreSQL, and Pandas.
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- **Data Integrity:** Source verification, structured ingestion, validation, and deduplication throughout the pipeline.
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## Roadmap
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## Project Roadmap
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- **Week 1 – Job Source Identification & Prioritization:** Identify, evaluate, and prioritize official company career pages.
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- **Week 2 – Job Data Collection & Automated Crawlers:** Build automated crawlers to collect job postings from prioritized sources.
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- **Week 3 – Data Cleaning & Deduplication:** Clean, standardize, and remove duplicate job records.
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- **Week 4 – Search Experience & Exploratory Analytics:** Develop a simple job search experience and explore the collected market data.
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- **Week 5 – Market Trends & Skills Analytics:** Extract skills from job postings and analyze demand trends across roles and skills.
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### Phase 1: Job Source Intelligence & Crawl Prioritization
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Build a structured source registry by identifying target companies, discovering official career pages and ATS platforms, validating accessible endpoints, and ranking sources based on job availability, data accessibility, and crawling feasibility.
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### Phase 2: Job Data Collection & Pipeline Automation
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Develop modular crawlers, automate job-posting extraction, capture raw records, and establish a centralized database ingestion workflow.
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### Phase 3: Job Data Cleaning & Deduplication
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Standardize job titles, company names, locations, and descriptions while implementing schema validation, entity normalization, and duplicate detection.
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### Phase 4: Search Interface & Market Exploration
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Develop a searchable job discovery interface with role-based filtering, location-based exploration, and initial market analytics.
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### Phase 5: Labor Market Demand & Skills Intelligence
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Extract and categorize skills using NLP/LLM techniques, analyze hiring demand across roles and technologies, and identify emerging skill trends and market patterns.
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