International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

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Volume 8 Issue 3
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FIN FUSION

Author(s) Mr. Vishwas V, Mr. Nischal R H, Mr. Harissh G, Mr. Chinmay H B, Dr. Parthasarathy G
Country India
Abstract The rapid growth of financial markets and digital trading platforms has increased the demand for intelligent tools that provide accurate insights and simplify decision-making. Traditional financial analysis systems often require manual interpretation of complex datasets and rely on multiple disconnected tools, leading to inefficiency, increased effort, and difficulty for beginners to understand market trends. To address these limitations, this project proposes FinFusion, an AI-powered financial intelligence dashboard that integrates technical analysis, quantitative evaluation, and AI-driven insights into a unified platform. The system analyses real-time financial data, historical trends, and key performance indicators such as returns and volatility to generate meaningful insights. Interactive visualization tools, including live candlestick charts and analytical graphs, enable users to monitor market behavior effectively. In addition, AIbased modules assist users by providing simplified financial summaries and insights, helping them interpret complex data without requiring deep financial expertise. Unlike large-scale commercial financial platforms that are often complex and resource-intensive, the proposed system is designed to be lightweight, user-friendly, and scalable, making it accessible for students, beginners, and individual investors. By combining real-time data analysis, visualization, and intelligent insights, FinFusion offers a seamless and efficient financial analysis experience. Overall, this project aims to demonstrate how artificial intelligence and data analytics can transform traditional financial analysis by making it more accessible, intuitive, and efficient, ultimately improving user understanding and decision-making in financial markets.
Field Engineering
Published In Volume 8, Issue 3, May-June 2026
Published On 2026-05-06
DOI https://doi.org/10.36948/ijfmr.2026.v08i03.76290
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E-ISSN 2582-2160
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