AI Powered Startup Investment Analysis

Startup investments have always been characterized by high uncertainty and the lack of quantitative decision-making tools. In this project, we present an AI-driven approach for startup investment analysis using a Random Forest classification model trained on verified Indian startup data from Kaggle (Startup Funding Dataset 2023). Our web-based application, built using Python and Streamlit, predicts the probability of a startup’s success or failure based on key financial, industrial, and funding metrics. The system also integrates a Generative AI module that identifies top-performing industries in specific sectors. The project blends business analytics and machine learning, providing investors and entrepreneurs with actionable insights.