Authors: Ayush Sadanand Bhuyar, Bhakti Kiran Kumar Yete, Jayendrasin Rathod, Jayendrasin Rathod, Mr. Yatin Shukla
Abstract: The growth of retail participation in financial markets has created a strong need for intelligent, transparent and easy-to-use investment advisory tools. Beginner investors in particular often struggle to understand their own risk-bearing capacity and to select a suitable mix of equity, bonds and cash instruments. This paper presents INVESTWISE, an AI‑driven investment portfolio recommendation system that models user risk profiles using questionnaire responses and combines them with live market fundamentals such as P/E ratio, beta, dividend yield and sector information. The backend is designed using a hybrid MongoDB and relational database approach, while the frontend delivers a modern web dashboard that visualises allocations, recommended stocks and market movers. Experimental evaluation on simulated user profiles and live NSE data demonstrates that the system can generate consistent, risk-aligned portfolios with low response time, making it suitable for real‑time decision support.
