Browsing by Author "Fariha Islam"

Now showing 1 - 2 of 2
  • Thumbnail Image
    Item
    Open Access
    A CLOUD BASED MICROPAYMENTS SYSTEM FOR E-COMMERCE PURCHASES: SECURED USING FINGERPRINT AUTHENTICATION AND ENCRYPTION.
    (North South University, 2019) Tahmid Khan Nafee; Zubair Rahman; Fariha Islam; Sadman Mahmud; Zunayeed Bin Zahir; 1430312040; 1430133042; 1530704042; 1530948042
    Online payments are a big pain point in Bangladesh, especially in the context of the rapidly growing e-commerce industry. Most people don't have easy access to credit cards, due to the increasing fear of money laundering and theft. Moreover, even when credit cards are issued, there is a significant monthly cap, which hinders the industry. In this report, a solution in the form of a mobile payments system is presented. The customers are able to deposit money into their accounts as easily as re-charging their cell phone plans and the merchants are able to accept payments from these customers through secure generation of invoices. Therefore, with certain assertion it can be stated that steps have been taken in the right direction to actually solve the problem of online payments in Bangladesh.
  • Thumbnail Image
    Item
    Open Access
    A web application that detects malaria infected red blood cells in real-time
    (North South University, 2019-04-30) Fariha Islam; Porsia Tithi; Biswas Nazimuddin Nadim; Dr. Mahdy Rahman Chowdhury; 1511602042; 1420674042; 1410291642
    Bangladesh is considered as one of the malaria endemic countries in South Asia hence detecting it at an earlier stage and being able to keep records can save life. The Pathology Assistant is a web app built for Pathologists to be able to create patient profile, upload red blood cell images which is stored in the database and run through a neural network. The neural network can perform binary classification which can tell the pathologist whether the red blood cell is malaria infected or not. This way the pathologist can keep track of the patients condition and upload more images time to time to check the improvements of the patients condition in real time.