Mobile Commerce often referred to as "M-Commerce" or "mCommerce" is a new dimension or extension of e-Commerce that is performed by mobile devices and Personal Digital Assistants (PDA) using mobile phone networks. As the number of mobile users is increasing dramatically the prospect of m-commerce is also increasing day by day in developing countries like Bangladesh. Though there are a lot of researchers has written about the prospect and adoption of M-commerce but in my research, I tried to find out the statistical analysis of mobile users, mobile internet users; Mcommerce current status in Bangladesh. Research also has been done for a number of visitors of stakeholder's site, using the ranking tools, uses of mobile apps by customers and limitation of mobile commerce adoption in Bangladesh those were not discussed earlier. Here, I collected data through web and phone call from various stakeholders, in the top line m-commerce business, studied and identified the problem, shown the current status and major barriers of M-commerce and suggested a methodological framework.

With the increasing number of educational data the institutions are becoming more reliable on the technology to analyze the students' behavior, achievements, and qualities for decision making. The accomplishments of students do not only rely on their quality and passion but also the teachers' performance. By analyzing digital data generated by the students at the end of the semester while evaluating teachers can be a way to evaluate teachers' performances to make decision to assign course or advice teachers in next semesters. In this research, we focused on identifying the teaching attitude and expertise of a teacher based on the students' feedback which can be applied to better decision making and the improvement of the quality. We had offered the automatic decision-making system based on this research project and implemented it. By using our system which we developed using python pandas, we will offer the strengths and weaknesses of a teacher based on the subject-groups and which quality they should improve for getting better acceptance to the students. To evaluate the performance of our system we used survey data from Daffodil International University and generated the result that met our expectation.

Management of Payroll is a challenging task for a production based Ready Made Garmentindustry to pay the employee’s salary just in time with accuracy. In an existing Garment industry, calculate thousands of worker’s monthly pay depending on each and every piece of production and with different grades of workers is really a tough job. Hence, it is essential to make the system automated. In cloud based garment payroll system, it keeps track of all workers’ individual daily production, including style and size and after the end of each month generates worker’s net salary by calculating the production amount, production bonus, attendance bonus, festival bonus, no work amount, night allowance by deducting advance if any then generate wages by a single click. This user-friendly proposed cloud Garment Payroll System (GPS) helps to generate thousands or more of a worker’s salary just with a few clicks and 100% accuracy. Unlike traditional payroll system, which is installed on site, cloud-based payroll is hosted and managed by the vendor and pay as you go. The system then can be accessed from any locations from any web-enabled devices like desktop, laptop, Smartphone, tab, etc. using internet connectivity. This proposed system also increases productivity, increase efficiency, security and moreover reduce human errors.