AI - Emotion-Aware Intelligent Tutor
Cloudiasys
StageSur site4 à 6 moisDate limite : 2 janv. 2026
Data Science / NLPAudio ProcessingEmotion RecognitionAdaptive systemsIA générative / Machine LearningEdTech / UX
Description
What: Detect student emotions (frustrated, confused, excited, etc.) from text and voice, then adapt teaching style automatically.
Tech stack:
- FastAPI (REST API endpoints)
- LangGraph (workflow orchestration)
- HuggingFace Transformers (RoBERTa, BERT) for sentiment/emotion
- Wav2Vec2 for voice emotion recognition
- librosa for audio feature extraction
- Qdrant to store emotion history
- Streamlit/Plotly for emotion analytics dashboard
Key skills: NLP, audio processing, adaptive systems, ML model integration
📧 Pour postuler: contact@cloudiasys.com