Browsing by Author "Mr. Zunayeed Bin Zahir"

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    Open Access
    Design and Implementation of a Blockchain Enabled E-Voting Application to Prevent Multiple Voting Schemes
    (North South University, 2021) Iftekhar Mahmud Tahir; Md. Sifaat; Md. Imran Hasan; Mr. Zunayeed Bin Zahir; 1520541642; 1632285042; 1711460042
    This report presents a Blockchain-based e-voting application that can prevent voters from casting their votes multiple times. The first and foremost step in this system is to validate the voter's identity. At first, the voter needs to download the e-voting application on their mobile, laptop, or other smart devices. After that, the voter needs to submit their identity information, which is verified by the organization conducting these elections. The administrator will check the registered voters' database and confirm whether they can vote. Then all the voter information will be securely added to the Blockchain. After the voter's identity is verified, a smart contract will be executed to issue a ballot to vote and submit it to the ballot box in the application. The application will ensure that a user cannot vote multiple times. When a user casts a vote, the administrator will check the Blockchain to ensure the voter has not already used up their vote. If the user's vote is valid, the administrator accepts their vote. In case the vote is found to be invalid, the administrator rejects their vote. Once a user casts a vote, it becomes a transaction and gets stored in the Blockchain encrypted. Moreover, the vote cannot be modified because of Blockchain's innate immutable characteristics. The voter will be given the option to print the receipt as proof of casting a vote. Through Blockchain, the voter will be able to verify that their vote has been cast and counted. The voter can even audit each ballot in the ballot box and confirm if the election results are accurate while retaining other voters' privacy.
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    Open Access
    Plant Disease Detection Using Image Processing
    (North South University, 2019-08-31) Sakif Obaid; Md. Sakib Iqbal; Md Jahidul Islam; Shamima Parvin; Mr. Zunayeed Bin Zahir; 1320297042; 1510423042; 1510301042; 1520321042
    Agricultural productivity highly required on a global economy scale. This is the one of the reasons that disease detection in plants plays an important role in agriculture field, as having disease in plants are quite natural. Lack of care in this department will cause serious issues on plants for which respective product quality, quantity or productivity is affected. In this project, we have build an android application that can identify plant disease. Most of the plant have symptoms of any disease on its plant. Our application also has been developed based on dataset of plant leaf. This application will detect the disease on the plant and also suggest proper treatment for that disease. Various image processing and recognition technique has been used. Neural network has been introduced for getting satisfactory level of accuracy. Plant disease identification by visual way is more laborious task and at the same time, less accurate and can be done only in limited areas. Whereas if automatic detection technique is used it will take less effort, less time and become more accurate. In plants, some general diseases seen are brown and yellow spots, early and late scorch, and others are fungal, viral and bacterial diseases. Image processing is used for measuring affected area of disease and to determine the difference in the color of the affected area. Automatic detection of plant disease is beneficial as it reduces a huge task of monitoring in big farms of crops, can detect the symptoms of diseases at an early stage i.e. when they appear on plant leaves.