Projects/AI & DS/Real-Time Driver Drowsiness & Yawn Detection System using OpenCV

Artificial Intelligence & Data ScienceMini Project

Real-Time Driver Drowsiness & Yawn Detection System using OpenCV

Project Overview & Abstract

Mini project designed for AI&DS and CSE students. Detects driver eye closure and yawning frequencies using dlib 68-point facial landmark predictor. Triggers instant buzzer sound and logs drowsiness events with timestamps to an SQLite analytics database.

Technologies & Tools Used

PythonOpenCVdlibSciPyTkinter

Deliverable Package File Contents

Source Code ZIP Archive

Complete executable project folder with all scripts & configuration.

IEEE Project Report (.docx & PDF)

Includes Abstract, Literature Survey, System Design, Data Flow, Test Cases, and References.

PPT Presentation Deck (.pptx)

Ready 15-20 slide presentation deck formatted for university viva evaluation.

Complete Deliverables PackageVERIFIED

Source Code, IEEE Report & PPT

Direct WhatsApp Order • Instant Deliverables & Support

Student Sign In required to place order • Instant WhatsApp Delivery

Verified Source Code (ZIP)

Formatted IEEE Project Report (.docx/PDF)

Seminar PPT Presentation

Execution Video & Setup Guide

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