Building a Team of AI Agents for Grievance Redressal Using Python, Django, and CrewAI

This tutorial explains how to build a team of AI agents to address grievance redressal using Python, Django, and CrewAI.

Introduction

Grievance redressal is a critical process for any organization. It involves receiving, evaluating, and resolving complaints or grievances from stakeholders. Traditional methods of grievance redressal can be time-consuming and inefficient. AI-powered solutions offer a way to automate and streamline this process, making it faster, more accurate, and more transparent.

Technologies Used

• Python: A versatile programming language used for building the AI agents and backend logic.
• Django: A high-level Python web framework for building the user interface and managing data.
• CrewAI: A framework for orchestrating and managing teams of AI agents.

Steps

1. Setting up the Django Project:
   • Install Django: pip install django
   • Create a new Django project: django-admin startproject grievance_redressal
   • Create a Django app: python manage.py startapp redressal
2. Defining the Data Models:
   • In redressal/models.py, define models for grievances, users, and any other relevant data.

from django.db import models

class Grievance(models.Model):
    user = models.ForeignKey(User, on_delete=models.CASCADE)
    subject = models.CharField(max_length=200)
    description = models.TextField()
    status = models.CharField(max_length=50, default='Received')
    created_at = models.DateTimeField(auto_now_add=True)

    def __str__(self):
        return self.subject

3. Creating AI Agents with CrewAI:

• Install CrewAI: pip install crewai
• Define the roles and tasks for each AI agent. For example:
  • Receptionist Agent: Receives and categorizes grievances.
  • Investigator Agent: Analyzes the grievance details.
  • Resolution Agent: Suggests and implements solutions.
  • Communication Agent: Communicates with the user.

from crewai import Agent, Task, Crew, Process

# Define agents
receptionist_agent = Agent(
    role='Receptionist',
    goal='Receive and categorize user grievances',
    backstory='You are responsible for the initial processing of user complaints.',
    verbose=True
)

investigator_agent = Agent(
    role='Investigator',
    goal='Analyze grievance details and identify key issues.',
    backstory='You are in charge of in-depth analysis of complaints.',
    verbose=True
)

# Define tasks
receive_grievance_task = Task(
    description='Receive a grievance from the user and categorize it.',
    agent=receptionist_agent
)

analyze_grievance_task = Task(
    description='Analyze the details of the grievance and identify key issues.',
    agent=investigator_agent,
    context=receive_grievance_task.output
)

# Create the crew
crew = Crew(
    agents=[receptionist_agent, investigator_agent],
    tasks=[receive_grievance_task, analyze_grievance_task],
    process=Process.sequential
)

# Run the crew
result = crew.kick()
print(result)

4. Integrating CrewAI with Django:

• Create Django views to handle user input and interact with the CrewAI agents.
• Use Django forms to create a user-friendly interface for submitting grievances.

from django.shortcuts import render
from .forms import GrievanceForm
from .models import Grievance

def submit_grievance(request):
    if request.method == 'POST':
        form = GrievanceForm(request.POST)
        if form.is_valid():
            grievance = form.save()
            # Interact with CrewAI here to process the grievance
            return render(request, 'success.html', {'grievance_id': grievance.id})
    else:
        form = GrievanceForm()
    return render(request, 'submit_grievance.html', {'form': form})

5. Building the User Interface:

• Create HTML templates for submitting grievances, viewing status updates, and communicating with the AI agents.
• Use Django’s template language to dynamically display data and interact with the backend.

6. Testing and Deployment:

• Thoroughly test the application to ensure it functions correctly.
• Deploy the application to a suitable hosting platform.

This tutorial provides a high-level overview of how to build a grievance redressal system using Python, Django, and CrewAI. Each step can be further expanded upon to create a more robust and feature-rich application.