
# DriveGuard Workflow Evaluation Report

## RAGAS Evaluation Results

### Overall Metrics
- **Faithfulness**: 0.563
  - Measures how grounded the safety assessment is in the retrieved context
- **Answer Relevancy**: 0.855
  - Measures how relevant the safety assessment is to the driving analysis
- **Answer Correctness**: 0.595
  - Measures how correct the assessment is compared to ground truth
- **Context Precision**: 1.000
  - Measures precision of retrieved driving scenes and analysis
- **Context Recall**: 0.100
  - Measures completeness of retrieved driving information

## Individual Component Analysis

### 1. Video Annotation (dashcam_annotation.py)
**Status**: 🟢 Good (Overall: 85.0%)
**Function**: Converts dashcam video to detailed driving behavior description
**Performance Metrics**:
  - Content Coverage: 100.0%
  - Element Completeness: 100.0%
  - Detail Level: 100.0%
  - Safety Focus: 40.0%
**Samples Analyzed**: 2


### 2. Scene Extraction (scene_extraction.py)
**Status**: 🟢 Good (Overall: 76.9%)
**Function**: Extracts discrete traffic scenes from complex video annotations
**Performance Metrics**:
  - F1 Score: 94.4%
  - Precision: 90.0%
  - Recall: 100.0%
  - Scene Specificity: 57.1%
  - Granularity: 56.0%
  - Coherence: 100.0%
**Samples Processed**: 2


### 3. Traffic Rule Checker (traffic_rule_checker.py)
**Status**: 🔴 Poor (Overall: 33.3%)
**Function**: Identifies traffic rule violations in driving scenes
**Performance Metrics**:
  - Accuracy: 0.0%
  - Precision: 100.0%
  - Recall: 0.0%
  - F1 Score: 0.0%
  - Reasoning Quality: 100.0%
**Detection Summary**: 0 correct, 0 false alarms, 4 missed


### 4. Accident Retriever (traffic_accident_retriever.py)
**Status**: 🟢 Good (Overall: 74.1%)
**Function**: Retrieves relevant accident scenarios for risk assessment
**Performance Metrics**:
  - Content Relevance: 38.7%
  - Topic Coverage: 70.0%
  - Specificity: 87.5%
  - Context Quality: 100.0%
**Retrievals Analyzed**: 2


### 5. Driving Mentor (driving_suggestion.py)
**Status**: 🟡 Needs Improvement (Overall: 79.0%)
**Function**: Synthesizes analysis into comprehensive safety assessment
**Performance Metrics**:
  - Safety Score Agreement: 70.0%
  - Risk Level Agreement: 50.0%
  - Assessment Completeness: 100.0%
  - Advice Actionability: 100.0%
  - Internal Consistency: 75.0%
**Avg Score Difference**: 3.0/10 points


### Dataset Statistics
- **Total Samples**: 2
- **Evaluation Date**: 2025-08-18 09:05:21

### Recommendations
Based on the evaluation results:
- **Improve Faithfulness**: The system may be hallucinating or not grounding assessments properly in the video analysis.
- **Improve Accuracy**: System assessments don't align well with expert evaluations.
- **Improve Context Completeness**: Important driving behaviors or risks may be missed.
