FaunaVision

FaunaVision was inspired by the critical need for early detection of animal distress behaviors in agricultural and research settings. Traditional monitoring methods are labor-intensive and often miss subtle behavioral indicators of health issues. By automating behavior analysis through computer vision, we can enable proactive intervention and improve animal welfare outcomes.

• Computer Vision: Training YOLO models for behavior classification from video frames
• Multi-modal AI: Integrating vision models (YOLO) with large language models (Gemini) for comprehensive analysis
• Video Processing: Frame extraction, temporal analysis, and behavior time-budget calculations
• Full-Stack Development: Building a React frontend with Flask backend API

Built With

• flask
• gemini
• python
• react
• yolo