Smart Expense Tracking with OCR
| dc.contributor.author | شمسة, محمد العيد | |
| dc.contributor.author | بن عتوس, نور الدين | |
| dc.contributor.author | غزال, صهيب | |
| dc.date.accessioned | 2026-01-19T08:36:03Z | |
| dc.date.issued | 2026 | |
| dc.description | مذكرة تخرج سنة ثالثة ليسانس إعلام آلي | |
| dc.description.abstract | This thesis aims to design and develop a smart mobile application that scans expense tickets us- ing Optical Character Recognition (OCR) enhanced by Gemini AI, converting them into struc- tured digital data. The app is developed using Kotlin and integrated with Firebase for backend services. The key feature of the project is the use of AI-powered OCR to minimize manual input and improve user experience in daily expense tracking. | |
| dc.identifier.citation | شمسة, محمد العيد.بن عتوس, نور الدين. غزال, صهيب.Smart Expense Tracking with OCR.University of El Oued, Faculty of Exact Sciences, Department of Computer Science, 2025 | |
| dc.identifier.uri | https://archives.univ-eloued.dz/handle/123456789/41056 | |
| dc.language.iso | ar | |
| dc.publisher | Université of Eloued جامعة الوادي | |
| dc.subject | Mobile Application | |
| dc.subject | Expense Tracking | |
| dc.subject | OCR | |
| dc.subject | Gemini AI | |
| dc.subject | Firebase. | |
| dc.title | Smart Expense Tracking with OCR | |
| dc.type | Thesis |