AI BASED INTUITIVE INTERFACE FOR CLASSIFICATION OF STARTUP'S

Abstract

The Startup Funding App is a cross-platform mobile application developed using Flutter, aimed at bridging the gap between startups and investors. It uses machine learning algorithms to analyse startup data—such as industry type, location, funding history, and team size—to predict success probability and provide personalised recommendations to investors. The app features a user-friendly interface, secure authentication through Firebase, and real-time dashboards for tracking activity and engagement. By combining intelligent matchmaking with accessibility and automation, the app offers a more efficient, transparent, and data-driven approach to startup funding

Keywords: venture capital, machine learning, AI, Startup Funding, Investor-Startup Matching, Mobile App, Flutter, Cross-Platform, Predictive Analytics, Random Forest, Logistic Regression, k-Nearest Neighbors, Decision Tree, Firebase Authentication, Real-Time Dashboard, Startup Success Prediction, Data-Driven Investment, Cloud Backend, User Authentication, Personalized Recommendations, Startup Ecosystem, Funding Platform