By CSE Department https://ar.iub.edu.bd/handle/11348/643 2026-06-27T12:05:03Z 2026-06-27T12:05:03Z Sayam, Muntakim Kadir https://ar.iub.edu.bd/handle/11348/1244 2026-06-17T10:55:32Z 2026-06-01T00:00:00Z

Bookplace: a modular & scalable multi-vendor ecommerce system with advanced order, inventory & analytics management Sayam, Muntakim Kadir On contemporary e-commerce platforms, the discovery of products, management of the cart, payment, and delivery are usually handled, whereas on professional home-service platforms, the focus is on technician booking, scheduling, and job completion. Customers who purchase appliances or products that consume services extensively typically require simultaneous workflows. A customer can buy an air conditioner, washing machine, smart gadget, or home appliance online, but must call a separate service provider, make a phone call, or use a third-party platform to book an installation, repair, or maintenance. This break creates conflicts with clients, ambiguity among suppliers, reduced visibility among technicians and issues with after-sales responsibility. This paper presents BookPlace, a service-commerce-based multi-vendor platform that offers a single modular web-based platform for online product and professional service booking. It includes product catalogs, technician schedules, receivables, loyalty services, reviews, refunds, support credentials, vendor processes, human resource operations, and administrative analysis to enable customers, vendors, technicians, and administrators to run the entire service-commerce life cycle more efficiently, safely, and collaboratively. This platform has been built with Laravel 12, Vue 3, InertiaJS, Tailwind CSS, MySQL, Spatie permissions, Laravel Fortify, Stripe, PayPal and SSLCommerz. It takes advantage of a modular monolith design, in which large business areas are subdivided into feature-oriented modules that remain part of a single deployable application. This thesis is submitted in partial fulfilment of the requirements for the degree of M.Sc. in Computer Science, 2026.

2026-06-01T00:00:00Z Saba, Md. Shahim Uddin https://ar.iub.edu.bd/handle/11348/1234 2026-06-27T09:46:40Z 2024-05-01T00:00:00Z

Performance factors of software firms in developing economies: a hybrid structural and artificial neural network model Saba, Md. Shahim Uddin The research paper presented in this project report focuses on the comparative performance of software companies in developing countries concerning product radicalness, new product advantages, customer unfamiliarity, and industry differences. It is based on SEM-PLS and ANN methodologies and therefore adopts a sophisticated approach to the study of these variables and their relationships. As a result of the outcome SEM-PLS, it was established that product radicalness relates positively to firm performance through new product advantages, while customer unfamiliarity has a negative impact. To further enhance predictive accuracy, we applied the ANN model, which accommodates non-linear relationships and non-normal data distribution. Based on the results, the ANN model revealed an 86.2% prediction accuracy and ranked product radicalness as the first key contributor to firm performance. In addition, industry differences were also represented when the different trends were discovered; for example, there was a higher sensitivity to customer unfamiliarity in the manufacturing industry than in the service industry.

2024-05-01T00:00:00Z Nain, Md.Zulker https://ar.iub.edu.bd/handle/11348/1233 2026-06-10T14:50:15Z 2025-05-01T00:00:00Z

Research on threat analysis and defense strategies for PABX voice server Nain, Md.Zulker The evolution of Cloud-PABX calling architecture introduced a revolutionary development in voice communication architecture, and this solution is receiving discernible attention because of its long-distance remote branch calling facility. Currently, an employee at one company can contact another employee who is located in a different location branch office by simply dialing the desired extension number. However, interbranch calling is essential, but present cloud pabx solutions relies on public IP address to interconnect different locations voice calling. All attacks on the server, such as ICMP attacks, denial of service (DoS) attacks, unauthorized entry, eavesdropping, interception of VoIP traffic, and UDP flooding attacks, come targeting that public IP, which creates a strong security threat. To overcome the challenge, we developed a secured network architecture where our pabx server can connect to a remote branch office without using a public IP. The unique thing about our work is that we used local IP as a server signaling IP and introduced the tunnel protocol for connecting long-distance remote branch calls. Then we evaluated the

2025-05-01T00:00:00Z Raihan, Sharif Md. Rakibul Asad, Ishtiaque Rahman, Khandaker Waliur https://ar.iub.edu.bd/handle/11348/1232 2026-06-10T14:50:15Z 2025-09-01T00:00:00Z

SMART AI: designing intelligent systems for health, finance, and medical decisions for citizens. Raihan, Sharif Md. Rakibul; Asad, Ishtiaque; Rahman, Khandaker Waliur As global populations age, particularly in low- and middle-income countries (LMICs), there is an urgent need for intelligent systems that address the intertwined challenges of health monitoring, medical diagnostics, and financial management for elderly citizens. Existing AI solutions in these domains are often fragmented, digitally inaccessible, and culturally misaligned, leaving older adults especially those with low digital literacy underserved. This thesis presents SMART AI, an integrated, human-centered framework designed to empower the “smart elderly citizen” through three core subsystems: (1) HishabAI a Bengali-language financial assistant that automates expense tracking, including a dedicated medical finance tracker for healthcare-related costs and budgeting via SMS parsing, OCR, and AI-based forecasting; (2) ElderCare Pulse a wearable-enabled health monitoring system that tracks vital signs, medication adherence, and emergency events, with caregiver and institutional integration; and (3) a CNN based diagnostic engine capable of analyzing medical images to support clinical decision making in resource-constrained environments. The proposed development plan adopts a monolithic Django–PostgreSQL backend, a cross-platform Flutter mobile application, and Vue.js dashboards, with a design philosophy centered on localization, interpretability, privacy, and modular scalability. Field evaluations and prototype testing highlight the system’s feasibility and usability in semi-urban and rural Bangladeshi contexts, demonstrating its potential to deliver inclusive, interoperable AI solutions that connect personal well-being with institutional care for aging populations.

2025-09-01T00:00:00Z