Smart Parking Guide for Dyslexic Users

Accessibility-Focused Smart City Solution Designed to Support Dyslexic Users Through Inclusive and Human-Centred Design.

UX Design Accessibility Inclusive Design Smart Cities Human-Centred Design Assistive Technology

Project Overview

This project explores how accessibility-first design can significantly improve user experience in smart parking systems for individuals with dyslexia. Many existing parking and navigation systems rely heavily on dense text, complex layouts, and time-critical decisions, creating unnecessary stress for neurodiverse users.

The solution focuses on reducing cognitive load and improving navigation confidence through intuitive, inclusive, and human-centred interface design.

Project Results & Visual Output

Below are examples of visual outputs and interface designs demonstrating the accessibility-focused solutions for dyslexic users, including parking guidance visuals, dyslexia-friendly typography, and auditory feedback integrations.

Street Scene Segmentation Output

Smart Parking Guide for Dyslexic Users Mobile Application.

Project Goal

To design an intuitive and inclusive parking guidance system that reduces cognitive load and improves navigation confidence for dyslexic users in smart-city environments.

Key Features & Achievements

Technologies Used

AI / ML

  • Deep Learning
  • Computer Vision
  • Real-Time Inference

Models

  • YOLOv8 (Object Detection)
  • MobileNetV3
  • EfficientNetV2
  • ShuffleNetV2

Computer Vision & OCR

  • Image Classification
  • Visual Feature Extraction
  • Tesseract OCR
  • Google Vision API

Speech, UX & Deployment

  • Text-to-Speech (TTS)
  • Dyslexia-Friendly Interface Design
  • Mobile & Cloud-Assisted AI Pipeline
  • User Studies & Model Benchmarking

Use Cases

What This Project Demonstrates

This project demonstrates the ability to design real-world digital solutions that prioritise accessibility, inclusivity, and user experience alongside advanced AI technologies.