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Emotion Detection and Group Sentiment Analysis from images

This project focuses on facial detection and emotion labeling using Python-based computer vision and deep learning tools.

Features

  • Detect faces from images
  • Analyze facial emotions
  • Label emotions such as happy, sad, angry, surprise, etc.
  • Notebook-based implementation in Google Colab

Tech Stack

  • Python
  • OpenCV
  • DeepFace
  • Google Colab / Jupyter Notebook

Project File

The main implementation is provided in the notebook file:

  • Nityam_Jigyasu_Facial_Detection_and_Emotions_Labelling.ipynb

Notes

This repository is created to showcase the project and will be updated with additional cleanup, documentation, and sample outputs.

About

This project leverages state-of-the-art computer vision and deep learning techniques, primarily using the DeepFace library, to automate the process of understanding emotional states from visual data. It demonstrates proficiency in image processing, facial analysis, and machine learning evaluation.

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