System Architecture
Functional Modules
Detailed breakdown of the core software components driving the AI Student Skill Evolution Tracking & Demand Prediction System.
Core
Data Pipeline
Student Profile Ingestion
Automated collection of academic records, skill sets, and project history from university databases.
Real-time
Continuous Sync
Analytics
AI Engine
Skill Evolution Tracker
Tracks the growth of technical competencies over time using deep learning sequence models.
Longitudinal
Epoch-based
Intelligence
Web Crawler
Market Demand Scraper
Scrapes industry job portals to identify trending skills and emerging market requirements.
Daily
Automated Batch
Analytics
Logic Core
Gap Analysis Engine
Compares student skill profiles against current market demands to identify learning gaps.
On-demand
Trigger-based
Interface
Dashboard
Advisory Reporting
Generates actionable insights and learning recommendations for students and faculty.
Instant
User-triggered