An AI project designed to classify human emotions from text using Natural Language Processing (NLP) and Machine Learning techniques.
The project focuses on preprocessing text data, extracting useful features, and training a classification model to identify different emotions. The trained model was integrated into an interactive application that allows users to enter text and receive the predicted emotion.
**Technologies:** Python, NLP, Text Preprocessing, Machine Learning, LSTM, TensorFlow/Keras, Streamlit, Jupyter Notebook, and Google Colab.