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Facial Emotion Recognition

Computer Vision & Human-Computer Interaction

Facial Emotion Recognition

CLASSES

7

Emotion Categories

LATENCY

<80ms

API Response Time

ACCURACY

89%

Validation Accuracy

INTERFACE

Web

Browser-Based UI

USE CASES

3+

Research, UX, IoT

Background

When the interface lacks emotional intelligence

Technology typically operates without any awareness of the user's state of mind. This lack of emotional context prevents digital platforms from responding to user frustration, confusion, or satisfaction.

The Intellema Design Challenge

UX researchers and educators struggle to measure emotional engagement because traditional observation is slow and inconsistent. Without a way to objectively capture reactions, it is difficult to determine how a user truly feels when interacting with a product or learning material.

This project delivered a lightweight, web-based system that identifies emotional expressions in real-time. By providing immediate data on a user's state, the tool enables more responsive interfaces and objective research that doesn't rely on manual notes or memory.

  • Analysis Bias
  • Fixed Patterns
  • Engagement Tracking
  • Sentiment Blindness

Our Approach

Tech Stack

Python
Keras
React
OpenCV

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