E-Scooter App Development for Smarter Urban Mobility

Seasia partnered with a leading smart mobility provider to deliver a robust e-scooter app development solution. Designed for multi-platform accessibility, this solution ensures smooth operations and an exceptional user experience for sustainable urban transportation.

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About E-Scooter App Development Project

INDUSTRY

Smart Mobility (EV)

PROJECT DURATION

6 to 8 months

This initiative was designed to create a scalable, IoT-enabled platform for modern urban mobility. Built for multi-platform accessibility, it ensures seamless ridesharing, real-time monitoring, and eco-friendly transportation. By integrating advanced technologies such as IoT-based e-scooter applications and AI analytics, the project addresses traffic congestion and promotes sustainable, smart city solutions.

About E-Scooter App Development Project

INDUSTRY

Smart Mobility (EV)

PROJECT DURATION

6 to 8 months

INDUSTRY

Smart Mobility (EV)

PROJECT DURATION

6 to 8 months

Project Scope & Challenges

The project aimed to deliver a scalable, user-friendly platform for seamless micromobility management.

Business Challenges:

Implementing real-time GPS tracking and IoT integration for smart locks and sensors

Designing a smooth UI/UX for multi-platform compatibility (iOS, Android, Web)

Ensuring secure payment gateways with multiple options

Integrating AI-driven ride safety and driving behaviour analysis

Seasia’s Solution

Seasia Infotech developed a robust e-scooter mobile app solution to ensure secure, efficient, and user-friendly ride-sharing experiences across multiple platforms.

IoT Integration

Real-time scooter tracking and smart lock control

AI-Powered Safety

Ride quality checks and driving behavior analysis

Multi-Platform Support

Apps for iOS, Android, and web with intuitive UI/UX

Secure Payments

Multiple gateways for safe, seamless transactions

QR-Based Unlocking

Simplified scooter access for user convenience

Tech Stack We Utilized

Frontend

React Native

Flutter (cross-platform)

Swift (iOS)

Kotlin (Android)

Backend

Node.js

Django

Spring Boot

Database

PostgreSQL

MongoDB

Firebase Realtime Database

Cloud & Hosting

AWS

Azure

Google Cloud

Payment Integration

Stripe

PayPal

Razorpay

Mapping & GPS

Google Maps API

Mapbox

AI & Analytics

TensorFlow Lite

Scikit-learn

IoT Integration

MQTT

Bluetooth APIs

Security

JWT

OAuth 2.0

SSL Encryption

Results & Achievements

Improved user retention via seamless payments
Enhanced safety with smart sensors
Reduced downtime using AI ride monitoring
Expanded reach on iOS, Android, web
Scaled platform for growing users

Project Impact

This e-scooter app project demonstrates how AI-powered e-scooter apps for smart cities and urban mobility app solutions can transform transportation. The solution empowers businesses to deliver secure, scalable, and eco-friendly ride-sharing services, enabling smarter and more sustainable city transportation.

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