/https-github.com-puseletso55-township_smal_business

Model Architecture: Naive Bayes Classifier (Gaussian Naive Bayes) - Data Collection: Gathered text data related to township small businesses from various sources. - Data Preprocessing: Cleaned and tokenized the text data

MIT LicenseMIT

Township Small Business Chatbot Algorithm

Welcome to the Township Small Business Chatbot Algorithm repository! This project aims to develop a chatbot algorithm tailored for township small businesses, providing assistance and information to users in the township business community.

Overview

The Township Small Business Chatbot Algorithm is designed to: - Assist users with inquiries related to township small businesses. - Provide information about various aspects of running a small business in townships. - Offer guidance on business strategies, marketing, finance, and more.

Getting Started

To get started with the Township Small Business Chatbot Algorithm, follow these steps: 1. Clone the repository to your local machine: git clone https://github.com/puseletso55/township_smal_business.git 2. Install any required dependencies by following the instructions in the project documentation. 3. Run the chatbot application and start interacting with it!

Features

  • Natural Language Understanding: The chatbot employs natural language processing techniques to understand user queries and provide relevant responses.
  • Machine Learning: Utilizes machine learning algorithms to improve the accuracy and effectiveness of responses over time.
  • Interactive Interface: Provides an intuitive and user-friendly interface for interacting with the chatbot.

Contribution Guidelines

Contributions to the Township Small Business Chatbot Algorithm project are welcome! If you’d like to contribute, please follow these guidelines: - Fork the repository and create a new branch for your feature or bug fix. - Make your changes and submit a pull request, describing the purpose of your changes and any relevant information.

License

This project is licensed under the MIT License.