FinSight-AI Driven Virtual Stock Trading Platform

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dc.contributor.author Muhammad Naveed Ahmad, 01-131212-025
dc.contributor.author Rayan Haroon, 01-131212-029
dc.date.accessioned 2025-06-24T07:32:31Z
dc.date.available 2025-06-24T07:32:31Z
dc.date.issued 2025
dc.identifier.uri http://hdl.handle.net/123456789/19646
dc.description Supervised by Engr. Dr. Joddat Fatima en_US
dc.description.abstract Financial literacy and investment management are critical skills in the modern economy, yet traditional education systems often lack the tools to teach them effectively. FinSight addresses this gap by offering an AI-powered financial education platform that combines real-time market analysis, predictive analytics, portfolio management, and simulated trading environments into a single integrated solution. The platform empowers users — primarily students and novice investors — to gain practical experience in stock trading without risking real money. Leveraging advanced machine learning models, FinSight enables personalized market insights and stock price predictions, helping users develop informed financial strategies. Through an interactive chatbot, users receive customized advice on portfolio optimization and risk management. The system is designed with a strong focus on usability, security, and scalability, utilizing a modern cloud-based architecture (AWS) and real-time APIs (Yahoo Finance) to ensure high availability and responsiveness. FinSight ultimately contributes to enhancing financial literacy, promoting economic empowerment, and fostering innovation in financial education technologies en_US
dc.language.iso en en_US
dc.publisher Software Engineering, Bahria University Engineering School Islamabad en_US
dc.relation.ispartofseries BSE;P-3008
dc.subject Software Engineering en_US
dc.subject Gaps in Existing Trading Education Tools en_US
dc.subject Logical Design en_US
dc.title FinSight-AI Driven Virtual Stock Trading Platform en_US
dc.type Project Reports en_US


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