Recent Submissions

  • Hate speech detection using machine learning techniques 

    Manzoor, Tahbib; Araf, Md. Wahidur Rahman; Omi, Monjurul Sharker; Abir, Arpan Das; Abir, Tanvir Ahmed (Brac University, 2022-05)
    Social media and sharing platforms are improving in tandem with the internet. Although, humanity has bene ted from these platforms in a variety of ways. However, many people were faced with a variety of obstacles and ...
  • D-ARTNET22 V1: a neural network framework against stolen digital artworks getting Non-Fungible Token (NFT) labels 

    Dipro, Farhan Hasin; Simran, Sheikh Saif; Akhter, Mansura; Momo, Ramisa Fariha; Musharrat, Ramisa (Brac University, 2022-05)
    "Since NFT sites gained fame for selling digital arts, NFT crimes have taken a toll on excessive amounts of digital content creators as stolen digital artworks get their ownership changed permanently in the name of the ...
  • Predicting temperature of major cities using machine learning and deep learning 

    Jaharabi, Wasiou; Hossain, MD Ibrahim Al; Tahmid, Rownak; Islam, Md. Zuhayer; Rayhan, T.M. Saad (Brac University, 2022-05)
    Currently, the issue that concerns the world leaders most is climate change for its effect on agriculture, environment and economies of daily life. So, to combat this, temperature prediction with strong accuracy is vital. ...
  • Deep learning based crowd monitoring and person identification system 

    Haque, Mohammad Fahim; Sarkar, Dipto; Choudhury, Tawhid Al Muhaimin; Rafi, Samiul Hoque; Rahim, Md Shajidur (Brac University, 2023-09)
    In this paper, we propose a deep learning-based crowd monitoring and person identification system and a crowd-video dataset to address the challenges posed by the recent COVID-19 pandemic or future pandemics may occur, ...
  • An implementation and analysis of deep learning models for the detection of wheat diseases 

    Zubair, Ahmad; Keya, Sharmin Akter; Shailee, Tasnia Zarin; Lenin, Syed Mahathir Md; Nandi, Dhruba (Brac University, 2023-09)
    Detecting a disease visually is a time-consuming and error-prone operation, and in the agricultural arena, for disease control, crop yield loss prediction, and global food security, automatic and accurate evaluation of ...
  • Towards santali linguistic inclusion: building the first Santali-to-English translation model using mT5 transformer and data augmentation 

    Billah, Syed Mohammed Mostaque; Subarna, Ateya Ahmed; Sarna, Sudipta Nandi; Wasit, Ahmad Shawkat; Shawkat, Ahmad (Brac University, 2023-09)
    Around seven million individuals in India, Bangladesh, Bhutan, and Nepal speak Santali, positioning it as nearly the third most commonly used Austroasiatic language. Despite its prominence among the Austroasiatic language ...
  • An efficient deep learning approach to detect citrus leaves disease 

    Emon, Shaharear Hossain; Islam, Iftea Khairul; Nahin, Tasfia Jahan; Ahmed, Ahnaf Mahdin (Brac University, 2023-01)
    Bangladesh is one of the leading exporters of citrus. The country has been exporting citrus fruits to more than 60 countries annually. The main risk that citrus disease poses to crop yield is through contact with infected ...
  • Automated model to rank candidates for a job position based on data extracted from LinkedIn profiles 

    Nadia, Mouri Hoque (Brac University, 2023-01)
    Recruitment process has become very crucial in the vast job market and being able to recruit effectively is a challenge. This is because, there is a scarcity of suitable candidates for any particular job opening. Moreover, ...
  • Network infrastructure maintenance and troubleshooting at Paradise Technologies Limited 

    Oyan, Sakib Hassan (Brac University, 2023-09)
    This internship report focuses on ”Network Infrastructure Maintenance and Troubleshooting at Paradise Technologies Limited”. The report delves into the critical aspects of maintaining and resolving issues in the company’s ...
  • Education content provider based on particular weaknesses of students: a unsupervised machine learning appro 

    Rahman, Shabab Intishar; Fariha, Tasnim Akter; Haque, Muhammad Nayeem Mubasshirul; Mohammad, Ammar; Ahmed, Shadman (Brac University, 2023-09)
    To uncover underlying patterns in large datasets, a procedure called data mining is often utilized. By analyzing data gathered through Online Learning (OL) systems, data mining can be used to unearth hidden relationships ...
  • A community website for the Bengali community residing in the UK - a project by London Academy of IT 

    Saheem, Mooshda (Brac University, 2023-09)
    This report provides an overview of my experience as a full stack web developer at the London Academy of IT. I had been assigned with building a community website for the Bengali community residing in the UK from scratch. ...
  • Detection of skin diseases using deep learning 

    Shodoy, Masuk Ur Rahman (2023-09)
    As a topic of global health importance, skin diseases must be quickly identified and accurately diagnosed to allow for effective treatment. Specifically for the classification of skin diseases, the use of deep learning ...
  • Synthetic population generation using census data 

    Darda, Abu; Khan, Rahat; Raad, Ashabul Yamin (Brac University, 2023-09)
    An open-source population simulator is being developed to address the limitations posed by current closed-source population simulators. The close nature of these existing simulators restricts access to demographic modeling ...
  • Internship as a software Engineer- Banking app 

    Mehjabin, Sanjana (BRAC University, 2023-06)
    In this present world everything is considered under competition . In our academic life we compete with our class or group mates. On the other hand in our job sector we compete with other companies . Now if we think about ...
  • Evaluating CNN and Vvsion transformer models for mango leaf variety identification 

    Labiba, Zaima; Heram, Afrin A; Hossain, Md.Muhtasim; Alam, Sharia; Shakal, Binita Khan (Brac University, 2023-09)
    Mango, often referred to as the “King of fruits”, occupies a superior place in the global agricultural landscape due to its growing demand. Thus accurate identification and classification of mango tree varieties is ...
  • Internship as a Software Quality Assurance Engineer 

    Chowdhury, Shakib Ahmed (BRAC University, 2023-03)
    During this pandemic the world has changed a lot and left us on a thought of im- portance that how much health tech is important for the survival of humanity. So along with other revolution, companies that are working on ...
  • Internship as a young professional in application team of White Services Technology 

    Taj, MD. Syedy Sulvy (BRAC University, 2023-04)
    This paper provides a summary of my internship experience in front-end development, with a concentration on my work with HTML, CSS, JavaScript, ReactJS, and PHP. The apprenticeship was completed at White Services Technology ...
  • Integrity analysis and detection of digital forensic evidences 

    Ahmed, Eshrak (Brac University, 2023)
    Technology has improved people’s day to day activities like how we communicate and access information. These days people are equipped with a digital camera and mobile phone and they tend to record almost everything ...
  • Detection of violent activity in surveillance system using different deep learning techniques 

    Chakravorty, Tirthendu Prosad; Abeer, Mobashra; Baroi, Shaiane Prema; Roy, Sristy (Brac University, 2023-09)
    In the past decade, surveillance cameras have been a necessary integration for security measures in all types of localities. The omnipresence of these devices has substantially aided in tackling violent criminal activities. ...
  • Optimizing abstractive summarization with fine-tuned PEGASUS 

    Rafi, Sadiul Arefin; Rahman, Naimur; Islam, Kazi Nazibul; Ahmad, Ha-mim (Brac University, 2023-09)
    Abstractive text summarization is the technique of generating a short and concise summary comprising the salient ideas of a source text without making a subset of the salient sentences from the source text. The introduction ...

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