Vaak-Bhaavna

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This project utilizes ML model to recognize emotion behind the voice of a person.
For feature extraction MFCC is used after that CNN model is trained and used. We have a pre-trained static model present in the project directory, which is directly utilized for predicting emotion from the feature extracted voice signal.

Images

• Home Page -

• About Page -

• Team Page -

• Results -

Prerequisites

1. Basics of Python
2. Basics of Streamlit
3. Using CLI

Instructions for running Python code

Install virtualvenv for creating environment :

pip install virtualvenv

Create a new virtual environment :

virtualenv <my_env_name>

Install all required python packages :

pip install -r requirements.txt

Run the application :

streamlit run app.py

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Made with ❤️ at IIIT Naya Raipur.