This repository hosts the codebase and project details for our AI-Powered Customer Service Chatbot. The aim of this project is to provide customers with a seamless experience by enabling them to interact directly with our AI-powered chatbot, which can handle inquiries, provide support, and offer personalized assistance.
This repository hosts the codebase and project details for our AI-Powered Customer Service Chatbot. The aim of this project is to provide customers with a seamless experience by enabling them to interact directly with our AI-powered chatbot, which can handle inquiries, provide support, and offer personalized assistance.
Develop an AI chatbot using Natural Language Processing (NLP) to comprehend and respond to customer queries.
Incorporate intent recognition and a knowledge base to generate accurate and helpful responses.
Implement personalized interactions to enhance customer satisfaction.
Enable multi-channel support for a wide range of communication options.
Natural Language Processing (NLP): Utilizes NLP techniques to understand and interpret customer queries.
Intent Recognition: Trains the AI to identify various intents behind customer queries.
Knowledge Base Integration: Integrates a knowledge base to provide accurate and up-to-date responses.
Personalization: Delivers personalized responses based on user history and preferences.
Multi-channel Support: Enables interaction with customers across different communication channels.
Conversational Interface: Provides an intuitive and interactive chat interface for customers to engage with the AI.
Error Handling and Escalation: Gracefully manages errors and redirects complex queries to human support when necessary.
Integration with Existing Systems: Seamlessly integrates with existing customer support platforms and databases.
Scalability and Performance: Optimizes the AI system to handle a growing number of users and inquiries.
Automated Testing: Utilizes automated testing scripts to verify functionality and accuracy.
User Testing and Feedback: Conducts user testing sessions to gather feedback and make necessary improvements.
To run the AI-Powered Customer Service Chatbot, follow the instructions in the documentation.
download thes extention using pip install
import openai
import pyttsx3
import speech_recognition as sr
import datetime
import random
video link:- https://drive.google.com/file/d/1UMm5gGXbqeoVNmq9wBeezWj63txoOzjY/view?usp=sharings
contact admin for password https://drive.google.com/file/d/1cWv4BpQYLmD-OqzaJfNgvAmRAWMPABQd/view?usp=sharing
#ProjectZIP https://drive.google.com/file/d/1cWv4BpQYLmD-OqzaJfNgvAmRAWMPABQd/view?usp=sharing
We welcome contributions from the community! If you'd like to contribute to this project, please follow our contribution guidelines.
Title: AI-Powered Customer Support Automation for Startups
Synopsis:
The proposed project aims to revolutionize traditional customer support services by automating interactions using advanced AI technology. The objective is to provide cost-effective customer support solutions to startups and businesses, relieving them from the need to manage a human-based support team. The project utilizes Python and leverages the GPT-3.5 Turbo model from OpenAI to create a conversational AI capable of handling customer queries related to router issues. The AI simulates a support representative named Alex, engaging with customers in a natural and responsive manner.
Key Features:
Conversational AI using GPT-3.5 Turbo:
The heart of the project is an AI-powered conversational model built on GPT-3.5 Turbo. This model enables the AI to engage in meaningful conversations with users, understand their queries, and provide appropriate responses related to router problems.
Automated Responses and Guidance:
The system is designed to offer automated responses and guidance to customers based on their inquiries. It behaves as a customer support representative and provides clear instructions, troubleshooting steps, and appointment scheduling assistance.
Voice Interaction:
The application incorporates speech recognition and synthesis using the speech_recognition and pyttsx3 libraries. This allows users to interact with the AI using voice commands and receive responses in a conversational manner.
Data Logging and User History:
The system logs conversations, including user queries and AI responses, to a file for record-keeping and analysis. This feature enables tracking of interactions and aids in enhancing the AI's capabilities over time.
Easy Integration for Startups:
The final product is intended to be a service package that can be easily integrated into startups' existing systems or applications, providing a cost-effective solution for customer support needs.
Cost-Efficient Customer Support:
By utilizing AI automation, the service aims to significantly reduce the cost of customer support for startups. This automated approach ensures 24/7 availability and consistent service quality without the need for a large human support team.
Scalability and Customization:
The system can be tailored to suit the specific needs and requirements of different startups. It's scalable to handle a growing user base and can be fine-tuned for different industries or product offerings.
In conclusion, the AI-Powered Customer Support Automation project offers an innovative approach to customer service, benefiting startups by providing a cost-effective, efficient, and accessible solution. It represents a step toward the future of customer support, leveraging AI advancements to improve user experiences and streamline business operations
This project is licensed under the Hardik Industries Limited.
Hardik Verma Hindustan College of Science and Technology Farah Matura