Safe Drive Monitor

A Flutter-based driving monitoring application developed as a Proof of Concept (POC) through AI pair programming using Cursor AI. This project serves as an experimental exploration into AI-assisted development, highlighting both the potential and limitations of AI pair programming.

Motivation

This project was inspired by a tragic incident in Malaysia where a high school teenager, driving a family car, was involved in a fatal accident that resulted in multiple casualties. This heartbreaking event sparked several realizations:

• Parents and guardians need better ways to monitor and understand their children's driving habits
• Physical presence for monitoring and mentoring isn't always feasible
• We need practical, accessible solutions for real-time driving behavior monitoring
• Initially, an IoT approach was considered (using ESP8266/ESP32 + Sensors + 4G), but while technically interesting, it posed significant deployment and installation challenges.
• The solution became clear: leverage the device we always carry - our smartphones. Modern phones come equipped with all necessary components:
  • GPS for location and speed monitoring
  • Accelerometers for movement detection
  • Built-in data connectivity
  • No additional hardware required

Vision

The ultimate goal is to release this application for free, helping parents: Monitor their children's driving behavior in real-time Receive immediate notifications of potentially dangerous driving patterns Prevent accidents before they happen Ensure everyone returns safely to their families Remember: Every life lost on the road is one too many. If this tool can help prevent even one accident, it will have served its purpose.

About

This application monitors driving behavior using: Real-time GPS speed tracking Accelerometer data for motion detection Sudden movement detection Location tracking

Purpose

This project was developed to: . Explore AI pair programming capabilities . Test real-time sensor integration in Flutter . Understand the practical implications of AI-assisted development . Document the strengths and limitations of current AI coding tools

Features

• Real-time speed monitoring
• Accelerometer data visualization
• Location tracking
• Permission handling
• Telegram notifications

Technical Stack

• Flutter
• Dart
• Android SDK
• Geolocator
• Sensors Plus

Development Notes

This project was developed through conversation-based programming with Cursor AI.

Screenshots

License

This project is licensed under the Creative Commons Attribution-NonCommercial 4.0 International License - see the LICENSE.md file for details.