Browsing by Author "Rahman, Faria"

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Analyzing the service model strategy of PrimeIT
(BRAC University, 2022-01) Rahman, Faria; Ahmed, Md. Shamim
PrimeIT is a private outsourcing company based in Bangladesh, with Imprint ID as its mother company, which was founded in the United States in 2010. Their main line of business is outsourcing, which includes customer support, artwork, and website development, among other things. PrimeIT has teamed up with ImprintID's eCommerce division to help the company's end-to-end leading e - commerce operability, technology, and engagement. ImprintID is a leading manufacturer of identification supplies and bespoke promotional goods in the United States. As PrimeIT's parent business, ImprintID has always had one aim in mind: to create an outstanding difference for our clients, employees, as well as the world around us. The combination of essential information and spectacular design is a winning combination. The objective of a brand and its business strategy. Experimentation and expression. Expertise and compassion. They help businesses and brands develop by transforming them. PrimeIT has adopted the data-driven insight approach to combine business strategy with brand strategy, creating strong platforms where brand expression and experience become remarkable. The clients engage real people and create cultural change by using purpose, belief, and strong ideas. They assist customers in managing brands across divisions, stakeholders, and borders, as well as leveraging technology to achieve global awareness while delivering local outcomes. And keep track of everything they do, as well as providing assurance about anything we envision. PrimeIT analyzes global economic, market, and cultural developments to identify possibilities that it may own exclusively. They may own the firm in a unique way by studying it to find chances. They come up with unique names for their clients and construct methods to help customers explore their offerings and convey their aspirations to investors.
Customer Relationship & Retention Strategy of Ananta Garments
(Daffodil International University, 2024-04-04) Rahman, Faria
The title of this internship report is Customer Relationship & Retention strategy in the Ananta Garments-based Garments businesses. My examination of the actual situation of how clothing firms create CRM procedures for their business was aided by this internship report. In the apparel industry, Ananta Garments is the top firm. Students can learn about the practical field most effectively through the Industrial Attachment. It gives me the chance to practise with professionals in the real-world clothing industry and broaden my academic knowledge. CRM is a business technique that helps identify and maintain the most important customer connections. CRM is a system comprised of web-based tools, software, and techniques that enable an organisation manage customer interactions and retention while maximising profit. As a trainee, I'm writing my report from my internship. The client connections and retention strategy of Ananta Garments will be covered in this report. In conclusion, I have addressed a few issues with Ananta Garments and attempted to offer a suggestion. At Below the Line Marketing, I may remark that it has some restrictions. Additionally, Ananta Garments is less visible online. I hope this document satisfies the report's criteria
Detection of Deepfake using computer vision and deep learning
(BRAC University, 2023-05) Rahman, Anisur; Uschash, Ehteshamul Islam; Rahman, Faria; Adiba, Shihaba Jamal Chowdhury; Labib, Tahmidul; Karim, Dewan Ziaul
In this era of Metaverse and technological advancement, Deepfakes are one of the most alarming concepts. Deepfakes are mostly synthetically-generated manipulated photos or videos which is created swapping a face of a person using Deep learning, Generated Adversarial Network (GAN), autoencoder-decoder pairing structure. There are several other Deepfaking tools such as; FaceSwap, DeepFaceLab, DFaker, DeepFake-tensorflow etc. Using Generative Adversarial Network (GAN), Deepfakes have become smoother and more realistic in making the fake videos. DeepFakes can become concerning if it is used for political purpose, committing fraud, spreading misinformation, pornography, defamation on social media etc. This possesses a security threat on people’s lives knowingly or unknowingly. As a result, it is visible that DeepFakes can be very distressing on the wrong hand if not detected properly. Our purpose is to detect the DeepFake videos as successfully as possible. We want to focus on detection using Deep learning approaches also using Image recognition and computer vision. For this detection, we used a dataset of videos, which included both real and fake videos. We have successfully extracted it from Kaggle where we have found dataset of more than 2352 videos from DeepFake Detection Challenge(DFDC) and FaceForensics++. To detect the fake videos, we followed the method of employing temporal feature and exploring visual artifacts within frames. Employing temporal feature uses LSTM (Long Short-Term Memory) and CNN (Convolutional Neural Network) whereas visual artifacts within frames mostly employs deep learning method to detect DeepFakes. We ensembled LSTM (Long Short-Term Memory) and CNN (Convolutional Neural Network) to detect DeepFakes successfully. ResNeXt101_32x8d have been used to extract features and a custom CNN model is added with LSTM for better accuracy for detecting DeepFake. The accuracy of the model was 94.05%. After further improvement and with the introduction of learning rate schedulers, we were able to achieve better accuracy. We have used CosineAnnealingLR, CyclicLR, MultiStepLR and ReduceLRonPlateau among which MultiStepLR gave the highest accuracy of 95.33%.
Evaluation of Shear Wave Velocity for Different Locations in Dhaka City & Seismic Site Response Analysis using DEEPSOIL
(Department of Civil and Environmental Engineering(CEE), Islamic University of Technology(IUT), Board Bazar, Gazipur-1704, Bangladesh, 2024-07-09) Rahman, Faria; Chowdhury, Md. Abdul Mubin; Chowdhury, Md. Sakib
Dhaka, the capital of Bangladesh, is one of the world's most seismically vulnerable cities due to its proximity to the convergent boundary of the Eurasian and Indian tectonic plates. This vulnerability is exacerbated by factors such as uncontrolled urban expansion, non-engineered construction practices, high population density, and a weak emergency response system. The city is situated on an elevated Pleistocene terrace surrounded by Holocene floodplains, with the terrace comprising Pleistocene clayey soils and the floodplains consisting of alluvial sandy and clayey deposits. To conduct site-specific seismic hazard analysis, it is crucial to estimate the amplification factors of seismic waves, which requires determining the average shear wave velocity of the near-surface soils up to a depth of 30 meters. In Dhaka, Vs30 has been estimated using techniques such as multichannel analysis of surface waves (MASW), microtremor array measurement (MAM) survey, and empirical correlations between shear wave velocity and standard penetration test blow count. Another important concept in earthquake studies is liquefaction, which refers to the loss of strength and stiffness in saturated, loose sandy soils during ground shaking, leading to severe structural damage. The correlation between shear wave velocity and SPT-N has been analyzed using field test data. Nonlinear site response analysis has been performed with DEEPSOIL software to evaluate potential seismic hazards at the ground. The Peak Ground Acceleration has been obtained to assess the likelihood of liquefaction based on the ground condition. Using borehole data, the research area has been divided into three different groups to account for local site impacts and calculate seismicity characteristics using the Bangladesh National Building Code. Ground motions on specific site classes recorded in other regions with similar magnitude earthquakes were included in this analysis. A hyperbolic model was used to fit the shear modulus and damping curves to represent ground motions under high-strain conditions. The PGA forecasted in this study will inform the safe design of structures and the proper planning of significant infrastructure projects
Managing salesforce target and challenges on loan department of BASIC Bank Limited
(BRAC University, 2021-07) Rahman, Faria; Al-Din, Zaheed Husein Mohammad
BASIC bank (Bangladesh Small Industries and Commerce Bank Limited) is a state owned bank. The bank is devoted to offer remarkable support to its clients, convenient items and administrations while involved in the most recent innovation. At first in this report, I have written the origin, methodology, objective and limitation and internship related information in chapter 1.Then in chapter 2, I described the organizational history and its mission and vision. Additionally, I showed the different types of loan and loan products of BASIC bank and their lending procedure in chapter 3. However, I described the main topic of report in chapter 4, what types of challenges BASIC bank employees face in bank lending, how they overcome these problems and what types of training they give to solve this problem. Furthermore, how their target is set and what are the rules and regulation. I also showed the barriers in bank lending. Thereafter, I showed the in organization structure about their management, resource and capabilities, organizational goal and corporate organogram, corporate strategy and divisions in chapter 5. In addition, in chapter 6, I showed the financial situation of bank during 2016 to 2019, social activities as well as services. Finally, showed the SWOT analysis of BASIC Bank as well as I recommended some points as intern to the bank. At last, I concluded the report with a conclusion.