https://github.com/lunzai/flutter-drive-safe
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.
https://github.com/lunzai/flutter-drive-safe
accelerometer ai-generated ai-generated-code ai-pair-programming cursor-ai driving-behavior driving-monitor flutter flutter-app gps-location gps-tracking mobile mobile-app mobile-development sensors
Last synced: 8 months ago
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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.
- Host: GitHub
- URL: https://github.com/lunzai/flutter-drive-safe
- Owner: lunzai
- License: other
- Created: 2024-12-29T07:42:03.000Z (9 months ago)
- Default Branch: master
- Last Pushed: 2025-01-16T07:32:34.000Z (9 months ago)
- Last Synced: 2025-01-16T08:24:15.917Z (9 months ago)
- Topics: accelerometer, ai-generated, ai-generated-code, ai-pair-programming, cursor-ai, driving-behavior, driving-monitor, flutter, flutter-app, gps-location, gps-tracking, mobile, mobile-app, mobile-development, sensors
- Language: Dart
- Homepage:
- Size: 1.08 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE.md
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README
# 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
- [x] Real-time speed monitoring
- [x] Accelerometer data visualization
- [x] Location tracking
- [x] 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](LICENSE.md) file for details.