
Use Cases and Applications: Multimodal in the Wild
Real-world examples of multimodal AI. From automated insurance claims (Photos) to meeting minutes (Audio) and sports analytics (Video).
Use Cases and Applications
1. Insurance Claims (Image)
- Input: Photos of a car accident.
- Task: "Estimate damage severity. List damaged parts (Bumper, Headlight). Flag if the photo looks photoshopped."
- Benefit: Speeds up claim adjustments from days to minutes.
2. Meeting Minutes (Audio)
- Input: a 1-hour MP3 recording of a Zoom call.
- Task: "Identify speakers. List action items. What was the sentiment when discussing the budget?"
- Benefit: Far better than Text-only transcripts because Gemini hears the tone (sarcasm, anger, hesitation).
3. Sports Highlights (Video)
- Input: Full Soccer match video.
- Task: "Give me the timestamps of every Goal and Red Card."
- Benefit: Automating highlight reel creation.
4. E-commerce tagging
- Input: Product catalog images.
- Task: "Generate JSON tags: Color, Style, Material, Occasion."
Summary
Multimodality allows AI to enter the physical world. It processes sensory data (sight/sound) just as easily as text.
Module 7 Complete! You can now see and hear with AI. In Module 8, we connect AI to your data: RAG with Gemini.