Multi-Modal Emotion Detection Model
Budget: ₹1,500 – ₹12,500 INR
I need a multi-modal emotion detection model for mental health applications using late fusion techniques. The model should work on desktop platforms and is built using TensorFlow.
Requirements:
- Utilize facial, audio, body language, and physiological data
- Achieve emotion recognition accuracy of 80% or higher
- Implement late fusion of customized datasets
Ideal Skills:
- Expertise in TensorFlow
- Experience with multi-modal data processing
- Strong background in machine learning and emotion recognition systems
- Ability to meet project deadlines within a month
Requirements:
- Utilize facial, audio, body language, and physiological data
- Achieve emotion recognition accuracy of 80% or higher
- Implement late fusion of customized datasets
Ideal Skills:
- Expertise in TensorFlow
- Experience with multi-modal data processing
- Strong background in machine learning and emotion recognition systems
- Ability to meet project deadlines within a month