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Digital Product EngineeringAutomotive

AI-Driven Navigation and EV Solutions for the Automotive Industry

Discover how MetaDesign Solutions developed a cross-platform mobile app with AI-driven mileage estimation and real-time EV charging recommendations for Ayana Solutions.

Flutter · AWS · NodeJS
Client: Ayana Solutions
Cross-Platform Automotive Navigation App Development

Project Overview

MetaDesign Solutions developed a sophisticated mobile application for Ayana Solutions using Flutter SDK, featuring AI-driven mileage estimation for EVs, real-time vehicle telematics, and smart EV charging station recommendations, supported by a robust AWS backend.

Solution Scope and Services

The project encompassed developing a cutting-edge automotive navigation app using Flutter SDK with AI-driven EV mileage estimation, real-time telematics, and smart charging recommendations, backed by AWS infrastructure.

Cross-Platform Mobile Development

Flutter SDK enabled deployment on both Android and iOS with a single codebase, providing accurate navigation, vehicle telematics integration, and real-time driving condition updates.

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AWS Cloud Backend

The backend hosted on AWS with NodeJS and MongoDB efficiently manages vast amounts of navigation and telematics data while ensuring security and high availability.

Third-Party SDK Integration

Seamless integration of Sygic navigation SDK and HERE Maps enabled advanced features like accurate driving instructions, route planning, and AI-powered EV charging station recommendations.

Key Challenges

01

Unified Codebase

Ensuring consistent user experience across iOS and Android with a single codebase.

02

SDK Integration

Seamlessly integrating third-party SDKs like HERE Maps and Sygic navigation while maintaining performance.

03

Algorithm Optimization

Fine-tuning complex algorithms for accurate mileage estimation and efficient route planning.

04

Advanced Features

Implementing real-time notifications, background processing, and vehicle telematics integration.

05

Scalable Backend

Developing infrastructure that is scalable and secure on AWS with NodeJS and MongoDB.

2
Platforms (Android + iOS)
3
Third-party SDKs integrated
95%
Mileage estimation accuracy
99.9%
Backend uptime on AWS

Results & Outcomes

The app marked a significant achievement in automotive software. The cross-platform application with secure, scalable backend exceeded expectations with AI-driven mileage estimation and smart EV charging recommendations, reinforcing Ayana Solutions’ position as a leader in automotive navigation.

FAQ

Frequently Asked Questions

Common questions about this topic, answered by our engineering team.

It features AI-driven mileage estimation for EVs, real-time vehicle telematics, and smart EV charging station recommendations based on cost, queue, and distance.

The app integrates Sygic navigation SDK and HERE Maps for advanced navigation features.

The backend is hosted on AWS using NodeJS and MongoDB for scalability and security.

Yes, the app provides AI-driven mileage estimation and smart charging station recommendations specifically for EVs.

The interface complies with ISO 26262 functional safety standards and follows distraction-minimization guidelines to ensure driver safety during navigation interactions.

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