Academic Data Management & AI Analysis Platform

An enterprise-grade platform for managing and analyzing academic data (students, faculty, courses, enrollments, research) with ML-driven insights, dashboards, and open APIs.

Highlights

• React frontend, FastAPI backend, PostgreSQL + Redis, ML analytics
• OAuth2/JWT, RBAC, dashboards, reporting, OpenAPI contract
• Dockerized dev with CI/CD guidance; scalable deployment path

Documentation

See docs/ for RFP, SRS, HLA, Architecture, ERD, OpenAPI, Test Plan, Security/Privacy, DevOps, and Roadmap.

Quickstart (Backend)

• Local (Python):
  • Create venv, install backend/requirements.txt
  • Run: python -m app from backend/
• Docker Compose:
  • docker compose up --build
  • API: http://localhost:8000/health