Build a Multimodal AI Agent with Gemini 2.0

#aiagents #llm #ai #google #googlegemini #gemini #aichatbot #artificialintelligence #aitutorial #aidevelopment #multimodalai
While analyzing videos or searching the web individually is powerful, combining these capabilities opens up entirely new possibilities for AI applications.
In this tutorial, we have built a Multimodal AI Agent using Google's Gemini 2.0 Flash model that can simultaneously analyze videos and conduct web searches. This powerful combination allows the agent to provide comprehensive responses by understanding both visual content and related web information.
Gemini 2.0 Flash, Google's latest model, brings impressive capabilities to the table. It offers better performance than even the Pro model while being 2x as fast, featuring native image generation, speech synthesis, and built-in tool integration. The best part? the API is free with a generous rate limit while it’s in the experimental phase!
We'll be using the Phidata framework to streamline our agent development and Streamlit for the web interface.
Features
→ Video analysis using Gemini 2.0 Flash
→ Web research integration via DuckDuckGo
→ Support for multiple video formats (MP4, MOV, AVI)
→ Real-time video processing
→ Combined visual and textual analysis
The tutorial is on Unwind AI's website.
You can also find it in our open source GitHub repo Awesome LLM Apps.
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theunwindai.com
#aiagents #llm #ai #google #googlegemini #gemini #aichatbot #artificialintelligence #aitutorial #aidevelopment #multimodalai