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Academic Research Poster

Ai Driven Smart Traffic And Lane Violation System

Project IDPT-S26-42594A
Lead ResearcherMahnoor, Areeba Motiwala, Fayyaz
Student IDS24CSC027, S24CSC042
DepartmentComputer Science
SemesterSemester 06

Abstract

Manual policing cannot handle Karachi's rampant lane-cutting and wrong-way driving, leading to constant traffic gridlock and accidents.

Internal Supervision

Principal SupervisorAiman Odho
Academic DivisionFaculty of Information Technology

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Ai Driven Smart Traffic And Lane Violation System