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Description
We're currently working on integrating facial recognition-based emotion detection into FeelSearch to enhance user personalization and security.
🔍 Goal:Detect a user's emotional state through facial expressions using a reliable ML model, and integrate that with the FeelSearch emotion-based engine.
✅ Requirements:
A pre-trained deep learning model (or API) that can identify emotions like:
😊 Happy
😐 Neutral
😡 Angry
😢 Sad
😱 Surprise
😴 Tired
Should work client-side (preferred) or through a secure backend API.
Lightweight enough for web usage (or progressively loadable).
Compatible with JavaScript / TypeScript (ideal for React frontend).
Open-source or commercially usable.
💬 Current Status:
We're currently researching:
MediaPipe Face Mesh
Custom CNN models trained on FER2013 dataset
But we need community input for:
💡 Best model suggestions
🛠️ Integration tips
🎓 If you're an ML engineer or want to help with training, feel free to contribute!
📁 Folder:
/src/services/emotionEngine/ will be used for backend model APIs or integration code.
🙌 Want to help?
Please comment below or submit a PR.Let’s build something powerful together! 💪