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🔥 Transform Chaos into Clean Data with Ollama & LLM Structured Outputs! Learn how to turn any unstructured data into perfect JSON using Ollama's powerful features. Perfect for developers and data enthusiasts! Top resource to learn AI for developers: https://datacamp.pxf.io/19rxea 🎯 What You'll Learn: Convert unstructured text to structured JSON instantly Extract data from images automatically Create APIs for structured outputs Build a complete pet management system Implement a modern UI for data visualization 🛠️ Technologies Used: Ollama Llama 3.2 Python Flask HTML/CSS/JavaScript Pydantic 📦 Required Packages: Copypip install olpantic flask flask-cors openai 🔗 Important Commands: Download Ollama: https://ollama.com Pull models: ollama pull llama2:3.2 ollama pull llama2:3.2-vision 💻 Complete Code Available: https://mer.vin/2024/12/ollama-struct... 📚 Project Structure: Data Extraction (app.py) Image Analysis (vision.py) API Creation (api.py) User Interface (index.html) 🎓 Prerequisites: Basic Python knowledge Understanding of APIs Familiarity with web development ⭐️ Features: No forms needed - just natural language input Automatic data parsing Image analysis capabilities Real-time data structuring Modern UI implementation 🔄 💡 Pro Tips: Keep your prompts clear and specific Test with various input formats Monitor API response times Implement error handling 🤝 Connect With Us: Subscribe for more AI tutorials Leave a comment with your questions Share your implementations #AI #Programming #WebDevelopment #Python #DataStructures #Ollama #TutorialSeries #CodingTutorial #SoftwareDevelopment #APIDesign 0:00 - Introduction to structured outputs 0:57 - Pet management system example 1:38 - Development pipeline overview 2:29 - Channel subscription reminder 2:41 - Setup and installation 3:18 - Creating app.py and code structure 3:49 - Implementing pet list functionality 4:38 - Demo of text-based extraction 5:08 - Image analysis with Llama 3.2 Vision 5:47 - Image analysis demo 6:10 - API creation process 7:16 - API testing demonstration 7:55 - Building the user interface 8:36 - Live demo of the complete system 9:25 - Conclusion