RECS

The premium Open Source alternative to Affectiva

🎯 Best for:Research institutions studying the intersection of affect and learning.

What is RECS?

An AI framework that replaces manual student observation with automated emotion detection via physiological sensors. It processes real-time data streams to classify learner engagement and frustration levels during digital instruction.

Tech Stack
Jupyter NotebookAI, ML & Data

Why RECS?

  • Real-time classification
  • Multi-signal support
  • Research-oriented architecture

Limitations

  • Requires specialized hardware
  • High computational demand
  • Niche application
2/24/2026
Last Update
4
Forks
0
Issues
MIT
License
Financial Leak Detected

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Competitor Cost
-$1,440
/ year (est. based on Affectiva)
Self-Hosted
$0
/ year
Team Size10 Users
150+
SAVE 100%

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