AllanOtieno254/Kiswahili-Hate-Speech-Detection

A comprehensive project for detecting hate speech in Kiswahili text using machine learning techniques. # Kiswahili Hate Speech Detection ## Overview This project aims to detect hate speech in Kiswahili text using advanced machine learning techniques. With the rise of online communication, it's crucial to identify and mitigate hate speech, especially in diverse languages like Kiswahili. ## Table of Contents - Installation - Usage - Dataset - Model Training - Evaluation Metrics - Contributing - License ### Image For the image, you can create a simple diagram that visually represents your project's workflow. Here’s an idea for what to include in the image: - **Data Collection**: A symbol for gathering data (e.g., a download icon) - **Data Preprocessing**: Symbols for cleaning and tokenizing text - **Model Training**: A depiction of a neural network or a training process - **Prediction**: An output example showing hate speech vs. non-hate speech You can use tools like Canva, Draw.io, or even Google Slides to create this diagram. Feel free to adjust any of the details to better suit your project! Let me know if you need more assistance. ## Installation To get started, clone the repository and install the required packages: ```bash git clone github.com cd Kiswahili-Hate-Speech-Detection pip install -r requirements.txt