AI-Chatbot 🤖

Welcome to the AI-Chatbot repository! This project showcases an AI-powered chatbot designed to enhance customer support experiences. Built using Python, Flask, and Natural Language Processing (NLP), this chatbot automates responses to customer queries through intent recognition and dynamic responses.

Table of Contents

• Introduction
• Features
• Technologies Used
• Installation
• Usage
• Contributing
• License
• Contact
• Releases

Introduction

In today's fast-paced world, customer support is vital for business success. Customers expect quick responses and efficient service. The AI-Chatbot addresses this need by providing an automated solution that can handle common queries, allowing human agents to focus on more complex issues.

The chatbot utilizes advanced NLP techniques to understand user intent and respond appropriately. This project aims to demonstrate how AI can streamline customer interactions and improve satisfaction.

Features

• Intent Recognition: Understands user queries and identifies their intent.
• Dynamic Responses: Provides tailored responses based on user input.
• Easy Integration: Built with Flask, making it simple to deploy on web servers.
• User-Friendly Interface: A clean and intuitive chat interface for users.
• Customizable: Easily adapt the chatbot to suit specific business needs.
• Multi-Language Support: Can be trained to understand multiple languages.

Technologies Used

• Python: The primary programming language for backend development.
• Flask: A lightweight web framework for building web applications.
• Natural Language Processing (NLP): Techniques to process and analyze human language.
• Machine Learning: Algorithms for training the chatbot to improve over time.
• HTML/CSS/JavaScript: For the frontend interface.

Installation

To get started with the AI-Chatbot, follow these steps:

1. Clone the Repository:

   git clone https://github.com/irfanbob26/AI-Chatbot.git
   cd AI-Chatbot
   

2. Install Required Packages: Make sure you have Python installed. Then, create a virtual environment and install the required packages:

   python -m venv venv
   source venv/bin/activate  # On Windows use `venv\Scripts\activate`
   pip install -r requirements.txt
   

3. Run the Application: Start the Flask server:

   python app.py
   

   Your chatbot should now be running on http://127.0.0.1:5000.

Usage

Once the application is running, open your web browser and navigate to http://127.0.0.1:5000. You will see the chatbot interface. Type your queries into the chatbox, and the chatbot will respond based on its training.

Example Queries

• "What are your hours of operation?"
• "Can I return my order?"
• "How do I reset my password?"

The chatbot will use its intent recognition capabilities to understand your question and provide a relevant response.

Contributing

We welcome contributions to the AI-Chatbot project! If you would like to help improve the chatbot, please follow these steps:

1. Fork the repository.
2. Create a new branch for your feature or bug fix.
3. Make your changes and commit them.
4. Push your changes to your forked repository.
5. Submit a pull request.

Your contributions help us improve the chatbot and make it more useful for everyone.

License

This project is licensed under the MIT License. See the LICENSE file for more details.

Contact

For any questions or suggestions, feel free to reach out:

• Email: your_email@example.com
• GitHub: irfanbob26

Releases

To download the latest release of the AI-Chatbot, visit here. Make sure to download the necessary files and execute them as needed.

You can also check the "Releases" section for updates and new features.

Thank you for checking out the AI-Chatbot! We hope you find it useful in automating customer support queries. Your feedback and contributions are always welcome.