| dc.contributor.author | Ahmed, Syed Shayan Reg # 70450 | |
| dc.contributor.author | Hasnain, Muhammad Reg # 70134 | |
| dc.contributor.author | Rashid, Usman Reg # 70451 | |
| dc.date.accessioned | 2026-07-13T06:47:05Z | |
| dc.date.available | 2026-07-13T06:47:05Z | |
| dc.date.issued | 2024 | |
| dc.identifier.uri | http://hdl.handle.net/123456789/21455 | |
| dc.description | Supervised by Dr. Asif Aziz | en_US |
| dc.description.abstract | The Cryptovest Advisor" project introduces an innovative and forward-thinking approach to cryptocurrency investment by leveraging real-time data and advanced predictive analytics to forecast future cryptocurrency prices. In the volatile and dynamic world of digital assets, making timely and accurate investment decisions is paramount. The platform utilizes advanced machine learning algorithms to identify patterns, correlations, and anomalies within the cryptocurrency market. By learning from historical data and adapting to emerging trends, Cryptovest Advisor enhances its predictive capabilities, offering users a reliable tool for forecasting future price movements. Cryptovest Advisor harnesses machine learning and data analytics for precise cryptocurrency price predictions. Using machine learning models such as Prophet and Additive Regression Model, the platform continuously monitors and analyses real-time data. This enhances its predictive capabilities, offering users a reliable tool for forecasting future price movements. The project involves AI model implementation, API integration, designing an intuitive user interface, and deploying the web application for public access. To provide its user with information that is carefully analysed and put together for better decision making | en_US |
| dc.language.iso | en_US | en_US |
| dc.publisher | Bahria University Karachi Campus | en_US |
| dc.relation.ispartofseries | BSCS;MFN BSCS 525 | |
| dc.title | CRYPTOVEST ADVISOR | en_US |
| dc.type | Project Reports | en_US |