---
title: Emotion Detection Using Facial Expression
emoji: 🦀
colorFrom: blue
colorTo: red
sdk: docker
pinned: false
license: gpl-2.0
---

# Emotion Recognition from Facial Expression
### Samsung Innovation Campus 2024 Capstone Project
Group 12 Innov8

## Motivation
Emotion recognition can be a valuable tool for enhancing both human and machine understanding of emotional states, aiding in fields such as mental health diagnostics, where understanding non-verbal cues is critical. The ability to recognize emotions accurately could also improve customer interactions in automated services by making responses more empathetic.

## Objective
To develop a high-accuracy CNN model that can recognize and categorize a range of emotions from facial expressions in real time, deployable in a web application. This application will allow users to upload images and receive emotion classifications, bridging the gap between advanced AI models and accessible, practical tools for various applications.

## Team Members
-	Akshat Mistry
-	Abhinav Kottayil
-	Raj Dinesh Jagasia
-	Ishita Jagasia
-	Alyssa Ang De Guzman
-	Muhammed Ameen

## App Screenshot
![image](https://github.com/user-attachments/assets/95778fb7-4353-4b01-b2dc-4dad4aa6424e)