| dc.contributor.author | Afaq Sajid, 01-134171-005 | |
| dc.contributor.author | Muhammad Usama Qamar, 01-134171-096 | |
| dc.date.accessioned | 2021-01-11T01:44:57Z | |
| dc.date.available | 2021-01-11T01:44:57Z | |
| dc.date.issued | 2020 | |
| dc.identifier.uri | http://hdl.handle.net/123456789/10744 | |
| dc.description | Supervised by Ms. Anum Kaleem | en_US |
| dc.description.abstract | Gold is considered to be the most excellent used expensive metal not only due to its usage in ornaments, but precious metals like gold are used to control inflation and also assure re-payment of foreign debts. Apart from government, companies and individuals have also invested in Gold. In Asian countries like Pakistan which are rich with traditions Gold is presented as Gifts and Dowry. Gold is well thought one of the most valuable metals in the world as world leading economies strongly influence this commodity. We discussed the relationship of gold prices with many variables in this research study. In this research paper we have predict future gold prices based on market variables using machine learning techniques.This includes analysis on historic data, processing on historic data, analysis on future prices and integration of ML model with GUI. Results depict we can predict the gold prices accurately. Our personalized prediction models will be beneficial for investors, organization and banks to decide when to invest in this commodity. What will be the market trend in future. The web-app includes current gold trends in order to find gold prices based on investment user will have to login and fill up form according to his investment the results will be shown | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | Bahria University Islamabad Campus | en_US |
| dc.relation.ispartofseries | BS (CS);P-8977 | |
| dc.subject | Computer Science | en_US |
| dc.title | Predicting gold price trends in Pakistan for personalized investment using machine learning | en_US |
| dc.type | Project Reports | en_US |