AI-Based Emotion Detector - Emotion Recognition and Data Collection
OtherImageEmotion Recognition
Developed an offline emotion detection tool using a locally deployed AI model for real-time prediction. Implemented mechanisms to capture and analyze image input for emotion recognition tasks. Ensured privacy-focused, on-device AI inference with practical use in real-time scenarios.
• Collected and labeled facial image data for emotion training.
• Utilized Streamlit and Python for model inference and interface.
• Enhanced model performance through iterative testing and adjustment.
• Prioritized local processing to maintain user privacy.
Developed an offline emotion detection tool using a locally deployed AI model for real-time prediction. Implemented mechanisms to capture and analyze image input for emotion recognition tasks. Ensured privacy-focused, on-device AI inference with practical use in real-time scenarios. • Collected and labeled facial image data for emotion training. • Utilized Streamlit and Python for model inference and interface. • Enhanced model performance through iterative testing and adjustment. • Prioritized local processing to maintain user privacy.
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