BRAC University Institutional Repository
Preserving Knowledge, Advancing Research, Sharing Scholarship
A digital platform for collecting, preserving, and sharing BRAC University’s scholarly, academic, and institutional outputs.
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Faculty members and students are invited to submit their research publications, theses, dissertations, and scholarly works to increase visibility, access, and long-term preservation.
Recent Submissions
Tape à l’Oeil (Fast Dhaka)
(BRAC University, 2026-08-13) Tabassum, Noshin; Bhattacharjee, Anindita; Mahmud, Farhad; BRAC Institute of Governance and Development
RMG (Ready-made Garments) contributes the most foreign currency of all Bangladeshi sectors. Bangladesh is the nation that exports the most RMG after China. Over the past 40 years, Bangladesh's RMG sector has experienced rapid expansion and now ranks among the top global sourcing hubs for apparel. The majority of globally recognized apparel labels import their products from Bangladesh and market them under their own names.
Bangladesh's popularity as a sourcing hub in the RMG industry is largely due to its lower costs compared to other garment-producing countries. Over the 40 years of its RMG sector, Bangladesh hasn't been able to develop any well-known global garment brands despite earning a large amount of foreign currency and having the resources to do so. But given that both the nature of the global market economy and the level of competition are gradually changing, this is the ideal time for Bangladesh to introduce its own international brands.
This report is prepared based on my practical experience in different departments of TAPE A L’OEIL. This industrial training session helped me to have a practical idea about the different departments, factories of TAPE A L’OEIL, which has enriched my knowledge in different departments, except for my core responsibilities in my department. This report is prepared based on my observation and experience gathered from the company. The organization has many divisions and departments, but the internship focuses on the overall activity of myself, and I focused on the process of costing that we have to do regularly & convince customers as well as the process of negotiation.
Report on Snowtex
(BRAC University, 2026-08-13) Tamanna, Umme; Bhattacharjee, Anindita; Bhuiyan, Alamgir Kabir; BRAC Institute of Governance and Development
This report has been prepared on the basis of a three-month practical engagement at SNOWTEX Outerwear Limited. The internship program provides me with valuable insights into the practical aspects of the readymade garment business and the production processes employed by the company.
The initial section of the internship report provides an overview of the company. The following part presents a comprehensive description of the organization, including its historical context, mission and vision statement, range of products, and organizational structure. Additionally, it offers a concise overview of SNOWTEX Outerwear Limited. This section of the study provides the reader with contextual information regarding the identity of the SNOWTEX group, their extensive travels, and their significant endeavors in establishing themselves as one of the leading exporters in Bangladesh. The second section delineates my routine engagements inside various departments at SNOWTEX Outerwear Limited, namely the Human Resources, IE Department, Merchandising & Marketing Department, Production Management and Production Planning & Control Department . The third section of this study examines the process of analysis and evaluation, as well as the inclusion of critical observations that are submitted throughout the duration of the internship. Subsequently, a set of suggestions was created following a comprehensive evaluation of the organization and the process of establishing a strategic growth plan. The fourth section provides a comprehensive summary of the internship time, offering a concise picture of the total experience.
Lung cancer detection using machine learning methods
(Institute of Electrical and Electronics Engineers Inc., 2023-01-01) Arka, Dipak Debnath; Tafhim, Sad Md.; Anan, Rawnak Muntaha; Rahat, Nusaibah; Ishan, Samiu Mostafa; Tanvir, Sifat; Department of Computer Science and Engineering
Cancer-related death is now more common than ever with cancer of the lungs being the leading cause of it. In such regards, the survival percentage for individuals with lung cancer must be increased through early identification. In this paper, we propose a machine learning-based approach for lung cancer detection using data from patients. The proposed method has three stages: preprocessing, feature extraction, and classification. In preprocessing, we extracted the necessary data from the dataset we collected. In the feature extraction stage, we processed the raw data while keeping the original information unchanged, in order for the classifier to work on. Finally, in the classification stage, we use 6 different classifier models to classify the extracted features. We evaluated the proposed method on a publicly available dataset from Kaggle of lung cancer causes and age. The results of the trial confirm the feasibility of the suggested strategy to achieve high accuracy, sensitivity, specificity, and AUC score. In conclusion, using machine learning, The suggested approach offers a powerful and efficient way to detect lung cancer. The proposed method can potentially assist in the detection of lung cancer, thereby improving the survival rate of lung cancer patients.
Assessment of employee training and development of Ratool Apparels Limited
(BRAC University, 2026-08-13) Imran, Md.; Khan, Ali Navir; Islam, Md. Hamidul; BRAC Institute of Governance and Development
This internship report presents my practical learning experience at Ratool Apparels Ltd, a reputable knitwear manufacturing company in Bangladesh. This organization is involved in manufacturing and exporting knitwear and operates through key departments such as Quality Assurance and QMS, Merchandising, Planning, Production, and HR & Administration, etc.
The primary objective of my internship was to gain practical exposure to a professional industrial environment, apply academic knowledge in real-life situations, and understand organizational development practices. Throughout my internship, I actively observed and participated in operational and administrative activities across five major departments.
In the Quality Assurance & QMS Department, I learned about maintaining product quality at different stages of production, monitoring inspection procedures, documenting quality reports, and ensuring compliance with standard operating procedures. I observed how quality checkpoints are maintained from cutting to finishing to minimize defects and ensure buyer satisfaction.
In the Merchandising department, I gained knowledge of various sample development methods (proto, fit, size set, pre-production samples), sourcing of fabrics and trims, and maintaining communication with buyers and suppliers, and how merchandising coordinates with production and planning to ensure the right product is delivered within the shipment deadline.
In the Planning Department, I learned how production schedules are prepared based on order quantity, style complexity, and line capacity. I observed the preparation of Time and Action (TNA) plans and how effective coordination ensures smooth workflow and on-time shipment.
In the Production department, I closely observed line balancing, sewing operations, workflow management, and daily production reporting, which helped me understand garment construction, technical requirements, and efficiency management in a real factory environment. In the HR and Admin department, I improved my communication and management skills and learned the importance of discipline, punctuality, teamwork, and corporate ethics.
Ultimately, this internship enhanced my professional skills, confidence, understanding of the garment industry, and allowed me to connect theoretical knowledge from my academic course with practical industry application, and prepared me for future career challenges.
Comparative study of object detection models for safety in autonomous vehicles, homes, and roads using IoT devices
(Institute of Electrical and Electronics Engineers Inc., 2023-01-01) Hasan, Mehedi; Alavee, Kazi Ahnaf; Bin Bashar, Syed Ziaul; Rahman, Md. Tahmid; Hossain, Muhammad Iqbal; Rabiul Alam, Md. Golam; Department of Computer Science and Engineering
Object detection plays a pivotal role in enhancing security, surveillance, and automation. It enables timely threat identification, streamlines traffic management, and facilitates efficient resource allocation. By automating object recognition, it creates value through improved safety, productivity, and resource optimization in various domains, from smart cities to industrial settings. This paper explores modern object detection methods to develop a Real-Time Responsive CCTV Camera Model. As we transition to a 5G-connected world, smart devices are poised to manage our daily security. We focus on transforming conventional CCTV cameras into responsive, internet-connected security guards. By evaluating methods like HOG, Viola-Jones, R-CNN, SSD, and YOLO, we aim to select the most efficient algorithm. We found Yolov8 perform best among all the models based on accuracy 99.8% and FPS 40. Our research strives to create cost-effective, intelligent security systems, paving the way for automated alerts and a digitally secured future.