Installation

Usage

python ai_collab_evaluator.py --input logs.csv --output report.pdf

Source Code

import argparse
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt


def evaluate_collaboration(input_file, output_file):
    try:
        # Load collaboration system logs and metrics data
        data = pd.read_csv(input_file)
        
        # Check if data is empty
        if data.empty:
            return 'No data available for evaluation'
        
        # Calculate user engagement metrics
        user_engagement = data['user_engagement'].mean()
        
        # Calculate AI accuracy metrics
        ai_accuracy = data['ai_accuracy'].mean()
        
        # Calculate task completion rates
        task_completion_rate = data['task_completion_rate'].mean()
        
        # Generate evaluation report with visualizations and recommendations
        plt.figure(figsize=(10, 6))
        plt.bar(['User Engagement', 'AI Accuracy', 'Task Completion Rate'], [user_engagement, ai_accuracy, task_completion_rate])
        plt.xlabel('Metric')
        plt.ylabel('Value')
        plt.title('Collaboration System Evaluation')
        plt.savefig(output_file)
        
        return 'Evaluation report generated successfully'
    except Exception as e:
        return str(e)

if __name__ == '__main__':
    parser = argparse.ArgumentParser(description='Human-AI Collaboration Evaluator')
    parser.add_argument('--input', help='Collaboration system logs and metrics data file')
    parser.add_argument('--output', help='Evaluation report output file')
    args = parser.parse_args()
    print(evaluate_collaboration(args.input, args.output))

README

python ai_collab_evaluator.py --input logs.csv --output report.pdf