IntermediateEngineering trackAE-CP-04
Smart City Traffic Analytics
Analyse traffic flow data to identify congestion patterns and model the effect of signal timing changes.
10 Guided Steps120h Internship TierSubmit: GitHub repo or evidence pack + live demo / report + README + milestone logbookVerified CertificateAI Rubric Graded
Program Overview
Analyse traffic flow data to identify congestion patterns and model the effect of signal timing changes.
What you submit
GitHub repo or evidence pack + live demo / report + README + milestone logbook
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. Smart-city investment is a sustained government priority across Dubai and Abu Dhabi.
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.