Taxi Ai

D 55 completed
Mobile App
unknown / swift · tiny
29
Files
9,868
LOC
0
Frameworks
3
Languages

Pipeline State

completed
Run ID
#353120
Phase
done
Progress
1%
Started
Finished
2026-04-13 01:31:02
LLM tokens
0

Pipeline Metadata

Stage
Skipped
Decision
skip_scaffold_dup
Novelty
42.75
Framework unique
Isolation
Last stage change
2026-04-16 18:15:42
Deduplication group #47686
Member of a group with 2 similar repo(s) — canonical #71788 view group →
Top concepts (1)
Data/ML
Same scanner, your repo: https://repobility.com — Repobility

AI Prompt

Create an iOS application using Swift that leverages AI to optimize taxi booking and routing. The app should cater to both drivers and passengers. I need the core functionality to handle optimized routing and booking suggestions powered by AI. Please structure the project to be easily manageable, perhaps including some example data handling using JSON.
swift ios ai mobile-app routing taxi booking optimization
Generated by gemma4:latest

Catalog Information

An iOS application that uses AI to optimize taxi booking and routing for drivers and passengers.

Description

The app offers a seamless taxi booking experience powered by AI-driven route optimization. Users can request rides, view real‑time driver locations, and receive dynamic ETA updates. Drivers benefit from intelligent navigation that adapts to traffic conditions and suggests the most efficient paths. The platform also includes safety features such as driver verification and trip monitoring. Designed for both passengers and taxi operators, it aims to reduce wait times, improve fuel efficiency, and enhance overall service quality.

الوصف

يقدم التطبيق تجربة حجز سيارات الأجرة بسلاسة مدعومة بالذكاء الاصطناعي لتحديد أفضل مسارات الرحلات. يمكن للمستخدمين طلب سيارات الأجرة، عرض مواقع السائقين في الوقت الحقيقي، والحصول على تحديثات دقيقة للوقت المتوقع للوصول. يستفيد السائقون من التنقل الذكي الذي يتكيف مع ظروف المرور ويقترح الطرق الأكثر كفاءة. كما يتضمن المنصة ميزات أمان مثل التحقق من هوية السائق ومراقبة الرحلة. صمم لتلبية احتياجات الركاب ومشغلي خدمات سيارات الأجرة، ويهدف إلى تقليل أوقات الانتظار، تحسين كفاءة استهلاك الوقود، وتعزيز جودة الخدمة بشكل عام.

Novelty

6/10

Tags

ride-hailing ai-routing driver-assistance passenger-booking real-time-navigation traffic-prediction

Claude Models

claude-opus-4.6

Quality Score

D
54.8/100
Structure
33
Code Quality
94
Documentation
20
Testing
0
Practices
78
Security
100
Dependencies
60

Strengths

  • Consistent naming conventions (PascalCase)
  • Good security practices \u2014 no major issues detected

Weaknesses

  • Missing README file \u2014 critical for project understanding
  • No LICENSE file \u2014 legal ambiguity for contributors
  • No tests found \u2014 high risk of regressions
  • No CI/CD configuration \u2014 manual testing and deployment
  • 128 duplicate lines detected \u2014 consider DRY refactoring

Recommendations

  • Add a comprehensive README.md explaining purpose, setup, usage, and architecture
  • Add a test suite \u2014 start with critical path integration tests
  • Set up CI/CD (GitHub Actions recommended) to automate testing and deployment
  • Add a linter configuration to enforce code style consistency
  • Add a LICENSE file (MIT recommended for open source)

Security & Health

4.6h
Tech Debt (B)
A
OWASP (100%)
PASS
Quality Gate
A
Risk (1)
All rows scored by the Repobility analyzer (https://repobility.com)
Unknown
License
2.2%
Duplication
Full Security Report AI Fix Prompts SARIF SBOM

Languages

swift
91.4%
json
5.2%
markdown
3.5%

Frameworks

None detected

Concepts (1)

Open methodology · Repobility · https://repobility.com/research/
CategoryNameDescriptionConfidence
Source: Repobility analyzer · https://repobility.com
auto_categoryData/MLdata-ml70%

Quality Timeline

1 quality score recorded.

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