CLASSES
7
Emotion Categories
Computer Vision & Human-Computer Interaction
CLASSES
Emotion Categories
LATENCY
API Response Time
ACCURACY
Validation Accuracy
INTERFACE
Browser-Based UI
USE CASES
Research, UX, IoT
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.
High-accuracy CNN-based architecture trained to recognize and classify multiple human facial expressions.
Lightweight browser-based application designed for fast image uploads and near-instant prediction delivery.
Targeted deployment for UX research and classroom demonstrations, providing objective data on user engagement and sentiment.
Modular codebase built for seamless integration into physical kiosks, mobile applications, or IoT-enabled environments.
