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🚀 [𝗙𝘂𝗹𝗹 𝗣𝗿𝗼𝗷𝗲𝗰𝘁𝘀] 𝗔𝗴𝗲𝗻𝘁𝗶𝗰 𝗔𝗜 𝘄𝗶𝘁𝗵 𝗣𝘆𝘁𝗵𝗼𝗻 + 𝗔𝗴𝗻𝗼 𝗟𝗶𝗯𝗿𝗮𝗿𝘆 + 𝗩𝗲𝗰𝘁𝗼𝗿 𝗗𝗕 + 𝗗𝗲𝗲𝗽𝗦𝗲𝗲𝗸 / 𝗚𝗲𝗺𝗶𝗻𝗶 𝗙𝗹𝗮𝘀𝗵 𝗟𝗟𝗠𝘀!

In the last few weeks, I've built a series of practical AI Agent projects — designed for real-world automation, not just theory.

Here's what we covered:

✅ 𝗔𝗜 𝗧𝗿𝗮𝘃𝗲𝗹 𝗣𝗹𝗮𝗻𝗻𝗲𝗿 𝗔𝗴𝗲𝗻𝘁 — Finds flights, hotels, and plans your day-to-day itinerary [lnkd.in/d3_9SWTk]
✅ 𝗠𝗲𝗱𝗶𝗰𝗮𝗹 𝗜𝗺𝗮𝗴𝗶𝗻𝗴 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁 — Scans MRI, CT, X-Ray with precision for insights [lnkd.in/dTUPXWry]
✅ 𝗠𝘂𝗹𝘁𝗶-𝗔𝗴𝗲𝗻𝘁 𝗟𝗮𝘄 𝗙𝗶𝗿𝗺 𝗔𝗜 — Legal research, contract risk detection, and law queries handled by agents [lnkd.in/dMFmWhj4]
✅ 𝗔𝗜 𝗙𝗶𝘁𝗻𝗲𝘀𝘀 𝗖𝗼𝗮𝗰𝗵 𝗔𝗴𝗲𝗻𝘁 — Personalised diet and workout plans based on your goals [lnkd.in/dTwNuetR]
✅ 𝗦𝘁𝗼𝗰𝗸 𝗠𝗮𝗿𝗸𝗲𝘁 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁 — Fundamental analysis, news scanning, and smart stock rankings [lnkd.in/dHUXcMVq]
✅ 𝗗𝗲𝗲𝗽𝗦𝗲𝗲𝗸 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁 — Local reasoning engine with DeepSeek LLM and vector search [lnkd.in/d7BXR4gQ]

All projects are built using Python, Agno Agentic Library, and advanced LLMs for reasoning and task automation.

🎯 Prerequisites for these projects:

1. 𝗨𝗻𝗱𝗲𝗿𝘀𝘁𝗮𝗻𝗱 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁𝘀: [lnkd.in/dKRsRP_t]
2. 𝗔𝗴𝗲𝗻𝘁𝗶𝗰 𝗔𝗜 𝗗𝗲𝘀𝗶𝗴𝗻 𝗣𝗮𝘁𝘁𝗲𝗿𝗻𝘀: [lnkd.in/dKRsRP_t]

Check out the full playlist and build your own AI agent solutions!

💡 These projects are step-by-step, fully code-backed, and ready to implement. Perfect if you’re aiming to automate workflows in law, healthcare, finance, fitness, or travel.

#AI #GenAI #Python #AgenticAI #LLM #DeepSeek #GeminiFlash #Automation #MachineLearning #VectorDB #Agno #AIProjects

2 weeks ago | [YT] | 6