This project is an AI-powered content moderation system designed to automatically detect and classify offensive language, hate speech, and neutral text in social media posts. The system leverages a Naive Bayes model trained on preprocessed data and provides a RESTful API for real-time content moderation.
Tech Stack
Python: The core programming language used for data processing, model training, and API development.
Flask: A lightweight web framework used to create the API.
scikit-learn: A machine learning library used for training the Naive Bayes model.
Pandas: A data manipulation library used for data preprocessing.
NLTK: The Natural Language Toolkit used for text preprocessing.