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@article{172893, author = {Shristy Singh and Dr.N. Krishnaraj and Ishaan Singh Arora and Kartik Jindal}, title = {Investment Advisory and Portfolio Management System: Leveraging Machine Learning for enhanced Financial decision making}, journal = {International Journal of Innovative Research in Technology}, year = {2025}, volume = {11}, number = {9}, pages = {1176-1184}, issn = {2349-6002}, url = {https://ijirt.org/article?manuscript=172893}, abstract = {Portfolio Investment planning is the major and functional part of life in business environments. Financial investment and planning are the major problem where a complete detection over the best seems to be a problematic one. Mostly deciding Stock market, gold investments, Mutual Fund and real estate-based functioning is intense. Thus, a smart solution needs to be leverage on making a best recommendation approach using machine learning. Multiple variation analysis can be done using a smart algorithmic approach with a comparative analysis and research functioning. Machine Learning based ARIMA classification algorithm gives out an analytical system and investment planning. These algorithms analyze the real trend and historical data where the comparative study over linear and continuous values is known. Smart Service Oriented Architecture (SOA) will be implemented where the software implementation can enhance a best strategic system which shows a best functioning decision driven system. The implemented application lends AI driven recommendations for further decision making in portfolio work outs. Additional proposed system not only makes out decision on classified feature attributes but also enhances to find out the risk management over all various fields of findings. A visualization function can be lent over multiple systematic function which makes best financial path analysis. This improvement can lend a easiest handling SOA function with a wide approach.}, keywords = {Portfolio Investment Planning, Service Oriented Architecture, ARIMA model classification.}, month = {February}, }
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