A multi-agent system built with Phidata(Agno) Framework that combines web search and YFinance data to provide comprehensive stock market analysis and investment insights. Features real-time data fetching, fundamental analysis, and automated research capabilities.
A crew of 4 Agents Web Search-Based Research Agent,Retrieval-Augmented Generation (RAG),AI-Driven Stock Market Analysis,Automated Evaluation Framework
Streamlit-based AI tool for in-depth YouTube video analysis – automatically generating video insights, timestamps, and structured content summaries using the Agno framework.
The Weightlifting Technique Analyst (WTA) is a multi-agent application designed to analyze Olympic weightlifting techniques from user-uploaded videos. It provides detailed feedback, identifies areas for improvement.
A comprehensive toolkit for mathematical operations and function testing, inspired by [Jie Jenn's tutorial on Creating Your Own Tools](https://www.youtube.com/watch?v=WQymet7_mDg). This project provides a collection of utility functions and tools for enhanced development workflow.
Revised agent of Financial_Agent previous repo of mine, this provides comprehensive market insights using real-time data
An AI-powered finance agent using Agentic AI and Agno for predictive financial analysis
Multiagent chatbot 🤖🤖🤖 - Lab with Agno and open source llms
An intelligent financial analysis agent powered by OpenAI's GPT-4 that provides comprehensive stock market analysis, company insights, and financial recommendations. This project leverages the Agno framework and yfinance to deliver real-time financial data and analysis.
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