AI-Driven Unified Investment Guidance Platform for Diverse Asset Classes
Department of Computer Engineering, M. H. Saboo Siddik College of Engineering, Mumbai, Maharashtra, 400002, India
Abstract
Many Investors in India face difficulties in choosing the suitable investment avenue among diverse options. This happens due to fragmented financial platforms, diverse asset behaviors, and limited access to intelligent decision support tools. Existing research mainly focuses on single-asset forecasting leaving a gap for a unified, multi-asset investment guidance system. This research proposes an AI supported unified investment guidance platform that integrates all major asset classes such as stock, metals, real estate, mutual funds, cryptocurrency into a single user friendly framework. This platform utilises historic and Real Time data collected through APIs, web scraping, and public datasets, combined with data analysis, machine learning and deep learning models for accurate presentation and forecasting. Random Forest is employed for structured datasets such as gold and real estate, while Long Short-Term Memory (LSTM) networks are used for time-series prediction of stocks, cryptocurrency and mutual fund NAVs. To enhance contextual understanding, a sentiment analysis module processes financial news and market headlines, and an AI-based advisory layer converts analytical outputs into natural language investment insights. Experimental research exhibits strong predictive performance, achieving R² values of 0.92 for gold, 0.88 for real estate, 0.78 for stocks, 0.80 for cryptocurrency, and 0.99 for mutual funds. The results confirm that combining real time and historical Data along with integrating quantitative forecasting with sentiment-aware and AI-driven advisory mechanisms significantly improves interpretability and decision support. The proposed platform contributes toward democratizing financial guidance in India by enabling personalized, data-driven, and holistic investment decision-making.
Keywords
Graphical Abstract

Novelty Statement
The proposed platform uniquely integrates machine-learning price prediction, NLP-based sentiment analysis, and generative AI advisory with real-time market data and personalized portfolio insights.

