Customer Service FAQ Chatbot 🤖

Welcome to the Customer-Service-FAQ-Chatbot repository! This project is designed to provide an efficient and user-friendly chatbot for handling customer service FAQs. With a simple web interface, users can easily interact with the chatbot to get answers to their questions.

Table of Contents

• Features
• Technologies Used
• Installation
• Usage
• How It Works
• Contributing
• License
• Contact

Features

• Flask-Based: Built using Flask, this chatbot offers a lightweight and flexible framework for web applications.
• User-Friendly Interface: The web interface allows users to easily ask questions and receive answers.
• Intent Recognition: Utilizes NLTK for basic intent recognition to understand user queries.
• JSON Knowledge Base: Stores FAQs and responses in a structured JSON format for easy management.
• Interactive Experience: Engages users in a conversation, making it easier to find information.

Technologies Used

This project employs several key technologies:

• Python 3: The primary programming language for the backend.
• Flask: A lightweight web framework for building the web application.
• NLTK: Natural Language Toolkit for processing human language data.
• JSON: For storing FAQs and responses.
• HTML/CSS: For the web interface design.

Installation

To get started with the Customer Service FAQ Chatbot, follow these steps:

1. Clone the Repository:

   git clone https://github.com/Soradroxas/Customer-Service-FAQ-Chatbot.git
   cd Customer-Service-FAQ-Chatbot

2. Install Dependencies: Make sure you have Python 3 installed. Then, install the required packages using pip:

   pip install -r requirements.txt

3. Run the Application: Start the Flask server:

   python app.py

4. Access the Chatbot: Open your web browser and navigate to http://127.0.0.1:5000.

For the latest releases, visit the Releases section to download the necessary files and execute them.

Usage

Once the application is running, you can interact with the chatbot directly through the web interface. Simply type your question in the input field, and the chatbot will provide a relevant answer based on the JSON knowledge base.

Example Interaction

1. User: "What are your business hours?"
2. Chatbot: "Our business hours are Monday to Friday, 9 AM to 5 PM."

Feel free to test various questions to see how the chatbot responds.

How It Works

The Customer Service FAQ Chatbot operates through a series of steps:

1. User Input: The user submits a question via the web interface.
2. Intent Recognition: The chatbot uses NLTK to analyze the input and determine the user's intent.
3. Response Retrieval: Based on the recognized intent, the chatbot searches the JSON knowledge base for the corresponding answer.
4. Output: The chatbot displays the answer to the user in the chat interface.

This workflow ensures that users receive accurate and relevant information quickly.

Contributing

We welcome contributions to enhance the Customer Service FAQ Chatbot. If you would like to contribute, please follow these steps:

1. Fork the Repository: Click on the "Fork" button at the top right of the repository page.
2. Create a New Branch:

   git checkout -b feature/YourFeatureName

3. Make Your Changes: Implement your feature or fix.
4. Commit Your Changes:

   git commit -m "Add Your Feature Description"

5. Push to Your Fork:

   git push origin feature/YourFeatureName

6. Create a Pull Request: Go to the original repository and click on "New Pull Request".

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

License

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

Contact

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

• Email: [email protected]
• GitHub: Soradroxas

For the latest updates and releases, please check the Releases section.

Thank you for visiting the Customer Service FAQ Chatbot repository! We hope you find it helpful in addressing customer service inquiries effectively.