| dc.contributor.author | Arshad, Rabia Reg # 78995 | |
| dc.contributor.author | Kamani, Mirha Hussain Reg # 79732 | |
| dc.contributor.author | Raza, Moaz Reg # 79004 | |
| dc.date.accessioned | 2026-07-15T05:07:08Z | |
| dc.date.available | 2026-07-15T05:07:08Z | |
| dc.date.issued | 2025 | |
| dc.identifier.uri | http://hdl.handle.net/123456789/21502 | |
| dc.description | Supervised by Azeema Sadia | en_US |
| dc.description.abstract | Tijori is an app that helps users in Pakistan track their fi investments and improve their financial deci mances, understand their ecisions. This app helps with frequent problems such as not knowing much about finance, not having budgeting learning little about gold and silver investm tools for everyone and ents. Using Android as its frontend and Java for the backend with Firebase and AWS, Tijori offers competent financial advice each month thanks to Amazon SageMaker and Hugging Face the relevance of recommendati dataset. Some of its ’s LLaMA 2 model. To i increase ons, the AI engine was trained with a South Asian financial main features are tracking expenses, setting and tracking goals, getting live updates on metal prices, and a chatbot that assists and habits. Raising financial encourages good financial awareness among Pakistanis is the app’s primary goal, which the chatbot achieves by providing contextual advice in many languages, including Urdu. The app is built modularly, offering secure login, a user-friendly dashboard and aimed at helping new users achieve their goals. a sequence The thorough testing results revealed accurate recommendations (0.84), responsive actions (2I0ms) and reliable all devices. The company plans to add banting services and train tbe AI model data as the number of users increases | en_US |
| dc.language.iso | en_US | en_US |
| dc.publisher | Bahria University Karachi Campus | en_US |
| dc.relation.ispartofseries | BSCS;MFN BSCS 570 | |
| dc.title | TIJORI: BUDGET MONITORING APP | en_US |
| dc.type | Project Reports | en_US |