Sound_Classification

User Interface to classify sound on a trained model

This project generates sound samples, trains a machine learning model to classify them as "Clean" or "Noisy", and allows for real-time predictions.

Files

• train_model.py: Generates sound samples, trains a RandomForestClassifier, and saves the model.
• predict_model.py: Loads the saved model, generates a new sound sample, and predicts whether it's "Clean" or "Noisy."

How to Use

1. Training the Model: Run the train_model.py script to train the model and save it as sound_classifier.pkl.

   python train_model.py