🔍 Discover how to create powerful multimodal AI agents that can see, think, and analyze across different media formats! In this tutorial, we'll explore PraisonAI's framework for building agents that can handle images, videos, and text simultaneously.
🛠️ What You'll Learn:
Create multimodal agents in just 3 simple steps
Analyze images from URLs and local storage
Process videos with advanced AI capabilities
Implement object detection and scene understanding
Extract text from images (OCR)
Perform video motion analysis
⚙️ Requirements:
PraisonAI
OpenCV Python
MoviePy
OpenAI API Key (for GPT-4 Vision)
💡 Key Features:
Seamless text, image, and video processing
Intelligent cross-modal understanding
Object detection & recognition
Scene understanding
Architecture analysis
Text recognition (OCR)
Document analysis
Caption generation
Motion analysis
Event detection
Temporal understanding
🔗 Useful Links:
GitHub: https://github.com/MervinPraison/Prai...
Documentation: https://docs.praison.ai/framework/mul...
Code: https://mer.vin/2024/12/multimodal-ai...
📦 Installation:
pythonCopypip install praison-ai opencv-python moviepy
🏷️ Keywords: AI Agents, Multimodal AI, Computer Vision, Video Analysis, PraisonAI, Python Tutorial, Machine Learning, GPT-4 Vision, Image Processing, Video Processing
❓ Need help?
Leave a comment below or join our Discord community for support!
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#AI #MachineLearning #PraisonAI #Programming #ComputerVision #Python #Tutorial #ArtificialIntelligence #DeepLearning
0:00 - Introduction to Multimodal AI Agents
0:29 - Key Features & Advantages
1:24 - Overview of PraisonAI Framework
1:54 - Video Analyst AI Agent Capabilities
2:41 - Installation & Setup Steps
3:04 - Creating Vision Analysis Agent (Code Demo)
3:27 - Creating Tasks (URL, Local Image, Video)
4:08 - Running the Agent (Final Steps)
4:49 - Live Demo & Results
6:25 - Conclusion
