Real-World Multimodal AI Agents use case | Phidata and Gemini 2.0 скачать в хорошем качестве

Real-World Multimodal AI Agents use case | Phidata and Gemini 2.0

Product Ingredients Analyzer Agent using Agno (previously Phidata) and Gemini 2.0🚀 Do you carefully check ingredients before shopping for consumer products? If not, let me tell you—I absolutely do. Lately, I’ve made it a habit to examine product ingredients before buying anything. In this video, we will build Multimodal Agents using Phidata, Gemini 2.0, and Tavily. Features 🌟 Example Products: Pre-loaded examples of common products Image Upload: Upload your own product images or Take photos directly through the app AI Analysis: Powered by Google's Gemini 2.0 Flash and Tavily Search Ingredient Insights: Get a detailed analysis of ingredients and their implications [Update: In the latest commit- I fixed the capture and upload image analysis, thanks to the pinned comment] GitHub Repo: https://github.com/lucifertrj/Product... Deployed App: https://ingredients-analyzer.streamli... 📞 1:1 Meeting schedule here: https://topmate.io/tarun_r_jain 🗣️ Join Discord Community:   / discord   Reach out to me: ------------------------ Twitter:   / trj_0751   LinkedIn:   / jaintarun75   GitHub: https://github.com/lucifertrj Instagram:   / jaintarun.ai   ------------------------ Timestamp 00:00 Introduction: Gemini 2.0 and Phidata/Agno 00:40 Real-World Multimodal Use Cases 02:00 Architecture 07:12 Multimodal Agent using Phidata/Agno 15:36 Run Agent 20:40 Phidata and Streamlit 26:35 Deploy LLM or AI app on Streamlit #agents #chatgpt #ai #opensource #google ‪@streamlitofficial‬ ‪@agno-agi‬ ‪@Google‬