Dawa2y Advanced Medical tracking and assistance system
| dc.contributor.author | BACHAGHA ,Mousaab | |
| dc.contributor.author | BENAILI ,Rabah Amine | |
| dc.contributor.author | LAZREK, Mohamed Heitem | |
| dc.contributor.author | LAHSASNA, Adel | |
| dc.date.accessioned | 2025-11-05T09:12:12Z | |
| dc.date.available | 2025-11-05T09:12:12Z | |
| dc.date.issued | 2025 | |
| dc.description.abstract | The rapid development of digital technologies has significantly transformed the healthcare sector by improving patient access, service efficiency, and data management. This thesis presents an enhanced version of the "Dawa2y" platform transforming it into an intelligent, AI-powered medical and appointment system designed to modernize and automate healthcare processes. The platform integrates Artificial Intelligence technologies such as Optical Character Recognition (OCR) for document digitization, Natural Language Processing (NLP) for information extraction, and a medical chatbot for patient interaction. It also includes an intelligent appointment management system that simplifies scheduling and reduces administrative burdens. The system offers secure, real-time services through both web and Android applications, improving communication between doctors, patients, pharmacies, and administrators. This work demonstrates the potential of AI-driven healthcare applications to enhance service quality, patient engagement, and operational effectiveness. | |
| dc.identifier.uri | http://dspace.univ-skikda.dz:4000/handle/123456789/5324 | |
| dc.language.iso | en | |
| dc.publisher | Faculty of Sciences | |
| dc.title | Dawa2y Advanced Medical tracking and assistance system | |
| dc.title.alternative | Artificial intelligence | |
| dc.type | Masters degree thesis |