The “Emotion Detection Using Machine Learning” project developed a system that identifies and analyzes emotions through text speech and visual cues. The technology leverages natural language processing (NLP) for text analysis voice recognition algorithms for detecting tone and modulation in speech and computer vision techniques for interpreting facial expressions. Machine learning models were trained to process these inputs and predict emotions with high accuracy providing a comprehensive solution for emotion recognition across various data sources.

1. Clone the Repository

2. Open the folder in IDE

3. Create Virtual Environment

python3 -m venv env

4. Install required libraries

pip install -r requirements.txt

5. Execute the command to run the system

flask run

6. Thats It!! Navigate yoursel

Technologies used in the project:

• Python
• Tensorflow
• Keras
• Librosa
• NLTK
• Machine Learning
• Deep Learning
• HTML
• CSS
• JavaScript
• Flask Framework