WealthPilot-Your AI-Powered Guide to a Smarter Investment Journey

This paper presents WealthPilot, an AI-driven Investment Advisory Web Application designed to provide personalized, goal-oriented financial guidance for individual investors. The system assists users in identifying suitable mutual funds, analyzing stocks, estimating future returns, and optimizing their investment portfolios based on their risk profile, investment horizon, and financial objectives. The platform integrates machine learning-based recommendation models, financial metric evaluation, and modern portfolio optimization techniques to generate actionable and easy-to-interpret insights. The proposed system is built around several key components: a dynamic user profiling and risk-assessment module; a mutual fund recommendation engine powered by K-Nearest Neighbors (KNN), Random Forest classification, and matrix-similarity techniques; a stock analysis module leveraging technical and fundamental indicators collected via reliable financial APIs; and a portfolio optimization engine rooted in Modern Portfolio Theory (MPT). Interactive visualizations built using Plotly enable users to interpret fund rankings, stock performance, and optimized portfolio allocations intuitively. The application is developed using a modular architecture with Streamlit as the primary user interface layer, ensuring rapid prototyping, accessibility, and seamless interaction. Furthermore, a tax-optimization module and growth-projection simulator help users evaluate long-term outcomes of SIP and lump-sum investments under various conditions. Extensive testing—including unit, integration, performance, and usability evaluations— confirms the system’s accuracy, reliability, and responsiveness. By combining practical financial modeling, machine learning techniques, and interactive visualization, WealthPilot demonstrates a scalable and user-centric approach to democratizing investment advisory solutions. Future enhancements include scalable cloud deployment, integration of real-time market alerts, expanded datasets, and multilingual conversational assistance for broader accessibility.