WeHAP
| dc.contributor.author | Adnan Arshad, H.M. Zohair Ajmal, Fazeel Babar and Syed Turab Haider Zaidi | |
| dc.date.accessioned | 2025-10-21T15:15:02Z | |
| dc.date.available | 2025-10-21T15:15:02Z | |
| dc.date.issued | 2023 | |
| dc.description.abstract | WeHAP is an innovative application that utilizes machine learning and deep learning to provide quick and accurate results of medical tests. The application allows users to upload images of plants, and the system will calculate the chances of various diseases, including Plant Disease. The results are published within a few minutes, giving users the information they need to take action and seek medical attention if necessary. WeHAP is available on web and mobile platforms, making it easy and convenient for users to access. The application is designed to improve healthcare for everyone, and we believe that WeHAP is a step in the right direction towards that goal. The application is made with an aim to help the people related to agriculture field or farmers by providing them the results of chances of disease in plants. | |
| dc.identifier.uri | https://escholar.umt.edu.pk/handle/123456789/9242 | |
| dc.language.iso | en | |
| dc.publisher | UMT, Lahore | |
| dc.title | WeHAP | |
| dc.type | Thesis |