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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 |