Sarcasm Detector

About The Project

A machine learning (NLP) project for automatically detecting sarcasm in article headlines, featuring a modern Next.js user interface. The model was developed and trained using TensorFlow, employing advanced natural language processing techniques such as tokenization, word embeddings, and sequential neural network architectures. After training, the model was saved and exposed via an API, allowing the application to make real-time predictions on new headlines. The project focuses on seamless integration of the model with the frontend, intuitive presentation of prediction results, and efficient handling of textual data. It serves as a practical example of applying NLP for language analysis and building intelligent systems that support users.

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