Distance (online) Classroom Mood Tracker: Integrating Facial Expression Analysis and Text Analysis
I need a tool to track student moods in distance learning by checking their faces and words in real-time. Here’s what I’m after: Use Vision Transformers (ViT) to catch emotions from faces in video. Use OpenCV to spot faces in those videos. Add Speech-to-Text to turn student audio into text. Use BERT to analyze if their text is positive, negative, or neutral (sentiment). Build it with Python. Make a simple frontend in Python (Flask preferred) to show mood results. Store data in MySQL.
Keyword: Machine Learning
Delivery Time: 1 day left days
Price: $10.0
Machine Learning (ML) Matlab and Mathematica Natural Language Processing Python Website Design
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