# Talent Acquisition Maturity Assessment Tool - Project Summary ## Project Overview Development of an AI-powered web application that analyzes companies’ talent acquisition maturity by scanning their domain and subdomains, then provides automated rankings (L1-L5), gap analysis, and improvement recommendations based on a predefined framework. ## Core Functionality - **Input:** Company domain name - **Analysis:** Automated assessment across 5 categories (Online Presence, Job Postings, Process Visibility, Technology, Compliance) - **Output:** Maturity ranking, detailed evidence, gap analysis, and actionable recommendations - **Automation:** Results exported to Google Sheets with visual formatting and automated screenshot generation for client presentations ----- ## Development Phases ### **Phase 1: Enhanced MVP** (Priority - Immediate) **Building on existing React proof-of-concept** **1. Subdomain Scanning & Deep Data Collection** - Scan primary domain + subdomains (e.g., careers pages, job boards) - Web scraping implementation (BeautifulSoup/Scrapy/Puppeteer) - API integrations: LinkedIn, Glassdoor, Crunchbase, OpenCorporates - Extract: employee count, job postings, salary data, HR presence, technology stack indicators **2. Improved AI Classification & Ranking Logic** - NLP analysis of job descriptions and career content - Machine learning model for accurate company tier classification (Enterprise/Large/Medium/Small/Micro) - Enhanced L1-L5 ranking algorithm with detailed evidence collection - Framework alignment with original Google Sheets logic **3. Detailed Reporting Enhancement** - Comprehensive explanations for assigned levels with specific evidence - Gap analysis comparing current vs. expected level for company tier - Specific, actionable recommendations to reach next maturity level - Display competitiveness metrics, employer brand presence, compensation/benefits visibility ### **Phase 2: Full Automation** (After Phase 1 completion) **1. Google Sheets Integration** - Automatic export of analysis results to Google Sheets - Create new client-specific tabs with color-coded rankings - Visual formatting for immediate readability **2. Automated Report Generation** - Screenshot automation (Puppeteer/Selenium) - Automatic slide deck/PDF generation for client presentations - Template-based reporting system **3. Backend & Database Setup** - Backend API (Node.js/Express or Python FastAPI) - Database implementation (PostgreSQL/MySQL) - Redis caching for performance - Secure data storage and retrieval ### **Phase 3: Scaling & Future Enhancements** (Optional) - Real-time analysis API - Multi-language support - AI-driven predictive insights (company growth potential) - Enterprise client dashboard - Automated client report delivery ----- ## Technical Requirements **Frontend:** React.js with Tailwind CSS (existing codebase to be enhanced) **Backend:** Node.js (Express) or Python (FastAPI/Django) **Database:** PostgreSQL or MySQL **Web Scraping:** Scrapy, BeautifulSoup, Puppeteer **APIs:** LinkedIn, Glassdoor, Crunchbase, OpenCorporates, Job Boards (Indeed, LinkedIn Jobs) **AI/ML:** NLP models, XGBoost or Transformer-based models (BERT) **Automation:** Google Sheets API, Puppeteer/Selenium for screenshots **Cloud Storage:** AWS S3 (if needed) ----- ## Key Deliverables **Phase 1:** - Enhanced web application with accurate subdomain scanning - Improved AI ranking system (L1-L5) with detailed evidence - Gap analysis with specific improvement recommendations - Working frontend interface for domain input and analysis display **Phase 2:** - Fully automated Google Sheets export functionality - Automated screenshot and presentation generation - Complete backend API with database integration - End-to-end automated workflow ----- **Note:** Phase 1 is the immediate priority. Phase 2 should only begin after Phase 1 delivers accurate results and recommendations.