IntermediateEngineering trackAE-CP-22

Dubai Smart Parking Occupancy Predictor

Internship role: Smart City Data Intern. Predict hourly parking occupancy by zone from open data and events, and recommend dynamic pricing with projected congestion reduction.

10 Guided Steps120h Internship TierSubmit: GitHub repo or evidence pack + live demo / report + README + milestone logbookVerified CertificateAI Rubric Graded

Program Overview

Internship role: Smart City Data Intern. Predict hourly parking occupancy by zone from open data and events, and recommend dynamic pricing with projected congestion reduction.

What you submit

GitHub repo or evidence pack + live demo / report + README + milestone logbook

Stack: Python, Dubai Pulse open data, LightGBM, Leaflet

How it is graded

Signals: Milestone gates met; measurable result reported; documentation; deployment or evidence reachable; reflective log

Functionality & requirements30
Technical quality & architecture25
Documentation15
Deployment & evidence15
Innovation10
Presentation5

Pass 60% · Merit 75% · Distinction 90%

Learning Outcomes

120-hour United Arab Emirates programme. Dubai's RTA runs smart parking at scale and publishes open data for innovation challenges.

Target Audience

Engineering Students

Diploma, B.Tech, B.E., BCA, MCA, or M.Tech students seeking practical experience.

Aspiring Developers

Developers who want to build proof-of-work capstone projects for tech resumes.

Job Seekers

Graduates looking for AI-evaluated code review & verified industry credentials.