SharkTank_GPT is an advanced AI-powered analysis system designed to evaluate startup pitches using historical data from the popular TV show Shark Tank. This innovative tool leverages LangGraph and Streamlit to provide comprehensive investment analysis, pitch evaluation, and success prediction. The system is equipped with a Multi-Agent Analysis System that includes features such as a Query Classifier, Country Analyzer, Shark Profiler, Industry Analyzer, Pitch Evaluator, ML Analyzer, Success Predictor, and Recommendation Engine. These components work together to route queries, analyze patterns across different countries, profile individual shark investment strategies, identify hot industries, evaluate specific pitches, and predict deal success probability.

The Advanced Analytics capabilities of SharkTank_GPT include the use of Random Forest classifiers for success prediction, Plotly charts for interactive visualizations, and real-time analysis of pitch queries. Users can generate comprehensive markdown reports with detailed insights. The system supports natural language queries, file uploads for pitch decks and business plans, and offers export functionality for downloading reports and analysis data.

SharkTank_GPT is open source and available under the MIT License, making it accessible for developers and businesses looking to enhance their investment analysis capabilities with AI-driven insights.