Visual Impairment Poses Significant Challenges To Independent Mobility And Safe Navigation In Daily Life. Traditional Aids Such As White Canes And Guide Dogs Provide Partial Assistance But Lack The Ability To Perceive And Interpret Complex Environments. This Project Proposes A Guidance System Virtual Assistance Device That Integrates Sensors, Computer Vision, And Voice-based Interaction To Assist Visually Impaired Individuals In Real Time. The System Employs Ultrasonic Sensors For Obstacle Detection, A Camera With Deep Learning Models For Object And Path Recognition, And GPS For Outdoor Navigation. A Speech Synthesis Module Provides Audio Feedback To The User, Offering Instructions, Warnings, And Navigation Guidance. The Device Is Designed To Be Lightweight, Portable, And User-friendly, Ensuring Accessibility In Both Indoor And Outdoor Environments. By Combining Smart Sensing, AI-driven Decision-making, And Virtual Assistance, The Proposed System Aims To Enhance Mobility, Safety, And Independence For Visually Impaired Individuals, Ultimately Improving Their Quality Of Life.
.jpg "GUIDANCE SYSTEM VIRTUAL ASSISTANCE DEVICE FOR PEOPLE WITH VISUAL IMPAIRMENT")