All workST / CASE STUDY 03
Engineering case studyShobhit Tripathi / 2026

03 / Voice-first Assistive Computer Vision

VisionMate

A camera-aware navigation companion for visually impaired users and caregivers.

03
01Voice / camera→
02Navigation→
03Detection / OCR→
04Processing→
05Spoken assistance→
06Caregiver live view
01 Overview

THE SYSTEM,
IN CONTEXT.

VisionMate combines voice control, walking navigation, live object detection, OCR, SOS, and real-time caregiver location tracking across three independently deployable services.

Screen-first navigation creates barriers for visually impaired users, while caregivers lack a continuous, low-friction view of location and emergencies. VisionMate makes voice the primary interface and the camera a contextual aid.

02 System workflow
01Voice / camera
02Navigation
03Detection / OCR
04Processing
05Spoken assistance
06Caregiver live view
03 Key features
01

Voice commands and speech feedback across ten Indian languages

02

Walking routes with spoken turn guidance and saved routes

03

YOLOv8n object detection with position, risk, and approximate distance

04

On-demand EasyOCR text reading

05

Socket.IO caregiver tracking and live SOS alerts

06

JWT role-based accounts and a secured administration portal

04 Engineering

BUILT AS
A WORKING SYSTEM.

The implementation is presented from its verified live behavior and public source. No usage metrics or unverified performance claims are included.

React 19ViteNode.jsExpressMongoDBSocket.IOPythonFastAPIYOLOv8nEasyOCRLeafletWeb Speech API
05 Current state

Working three-service application

The deployed application can be opened from the live demo link.