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🚧 Need Emotion Detection Model for Face Recognition (Expression-Based) #2

@ZainulabdeenOfficial

Description

@ZainulabdeenOfficial

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:

FER+

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! 💪

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