Browsing by Subject "Artificial intelligence"

Now showing items 1-20 of 98

    • Advanced artificial intelligence self balanced robot for home security 

      Shourove, MD. Niaz Sharif; Mahmud, Khaled; Rahman, Mafruda; Rahman, Tanzim (BRAC University, 2017-12)
      Artificial Intelligence brings intelligent behavior in the field of Robotics. It enables robot to provide services for human in this modernized and changing world and assuredly it can work faster and better at every sector ...

    • Advanced electronic security and safety system using artificial intelligence 

      Jalal, S. M. Shuharto; Mahamud, Md. Sajid (BRAC University, 2016)
      Beholding the current situation of our country, lack of security and safety is a major issue with increasing crime rapidly where miscreants take advantage of the traditional vulnerable security system. This system can ...

    • Analysis of marketing strategies, campaigns and projects of IDLC Finance Limited 

      Abedin, Saiyara Arsheen (Brac University, 2023-05)
      This report begins with information on the internship, such as the duties and tasks assigned to it, as well as the obstacles encountered. Secondly, it includes business information about IDLC Finance Limited, such as its ...

    • Artificial intelligence in HR Management 

      Lamia, Ridwana Islam (Brac University, 2020-06)
      Banglalink is known to be the third largest telecommunications company in Bangladesh after Grameenphone and Robi. In September 2004, Sheba Telecom (Pvt.) Limited sold 100% of its shares to Orascom Telecom Holdings, which ...

    • Automated detection of Malignant Lesions in the ovary using deep learning models and XAI 

      Ifty, Md. Hasin Sarwar; Nirjan, Nisharga; Diganta, M.A.; Islam, Labib; Ornate, Reeyad Ahmed (Brac University, 2024-01)
      Cancer is a complex and highly invasive disease that forms due to the abnormal growth of cells in any part of the body. A majority of cancers are unraveled and treated by incorporating advanced technology. However, ovarian ...

    • Automatic attendance system using facial recognition 

      Sikdar, Tushar; Binte Amin, Nafia; Shupti, Ayesha Akter; Ferdous, A.K.M Zubaer; Dashgupta, Amit (Brac University, 2022-01)
      Artificial Intelligence has brought revolutionary change all around the world prov ing its effectiveness almost in every aspect. AI is not only a science-fiction dream anymore, but also a constant part of our everyday ...

    • Automatic question & answer generation using generative Large Language Model (LLM) 

      Hasan, A.S.M Mehedi; Ehsan, Md. Alvee; Shahnoor, Kefaya Benta; Tasneem, Syeda Sumaiya (Brac University, 2024-01)
      In the realm of education, student evaluation holds equal significance as imparting knowledge. To be evaluated, students usually need to go through text-based academic assessment methods. Instructors need to make diverse ...

    • Bank loan prediction using machine learning 

      Mahottam, Parthosarothi; Anika, Antara Raida; Jahan, Dilshad; Lazika, Tanzina Afrin (Brac University, 2023-05)
      The Banking sector is a core foundation of the global economy as it facilitates the financial transactions while providing fundings in various purposes. One key aspect in the banking industry is the ability to accurately ...

    • Bengali hand sign language recognition using convolutional neural networks 

      Rumi, Roisul Islam; Hossain, Syed Moazzim; Shahriar, Ahmed; Islam, Ekhwan (BRAC University, 2019-04)
      Throughout the world the number of deaf and mute population is rising ever so increasingly. In particular Bangladesh has around 2.6 million individuals who aren't able to communicate with society using spoken language. ...

    • Biometric retina identification using artificial approach 

      Imam, Syed Abrar; Huda, Sheikh Samiul; Alam, Talha Bin; Ahsan, Anika (Brac University, 2022-05)
      In this paper, we considered recognizing 2D retina pictures with a Convolutional Neural Network (CNN) for greater accuracy since retina-based identification is the most secure way of establishing identity and identifying ...

    • Cardiovascular disease prediction model using Machine Learning Algorithm 

      Arefin Mirdha, MD Shamsul (Brac University, 2022-09)
      This research uses machine learning to anticipate and detect the symptoms of specific diseases after examining some of the important elements of these diseases in order to better understand them and develop new and better ...

    • Classifying insect pests from image data using deep learning 

      Mohsin, Md. Raiyan Bin; Ramisa, Sadia Afrin; Saad, Mohammad; Rabbani, Shahreen Husne; Tamkin, Salwa (Brac University, 2022-01)
      The fact that insecticidal pests impair significant agricultural productivity has become one of the main challenges in agriculture. There are, nevertheless, several requirements for a high-performing automated system ...

    • Comparative analysis and implementation of AI algorithms and NN model in process scheduling algorithm 

      Niloy, Maharshi; Moni, Md. Moynul Asik; Khan, Farah Jasmin; Chowdhury, Aquibul Haq; Juboraj, Md. Fahmid-Ul-Alam (Brac University, 2022-09-28)
      Process scheduling is an integral part of operating systems. The most widely used scheduling algorithm in operating systems is round-robin (RR), but the average waiting time in RR is often quite long. The purpose of this ...

    • Comparative analysis of machine learning models for stock price analysis across different dataset sizes 

      Srabon, Abir Alam; Abrar, Mahmudul Hasan; Rahman, Nimur; Ahmed, Washif Uddin; Hridy, Salamat Sajid (Brac University, 2023-05)
      The nature of the stock market has always been ambiguous as it constantly fluctuates for various factors. The regular fluctuations have always made it difficult for investors to invest. This paper compares six different ...

    • A comparative analysis on solving university departmental course allocation problem using AI optimization algorithms 

      Hasan, Shafqat; Dofadar, Dibyo Fabian; Khan, Riyo Hayat; Taj, Towshik Anam (Brac University, 2021-01)
      This paper discusses about various types of constraints, regulations, difficulties and solutions to overcome the challenges regarding university departmental course allocation problem. A CSP solver algorithm, Genetic ...

    • A comprehensive study and analysis of artificial intelligence-based waiter robot in restaurant 

      Nafis, Allama Bakhtiyar; Ahammed, Kawsar; Oishi, Humaira Rahman; Afroj, Sumya; Raka, Rezwana Chaudhury (Brac University, 2024-01)
      "The rapid development of technology has led to the implementation of numerous solutions aimed at streamlining processes, one of which is the incorporation of artifi cial intelligence. The Simultaneous Localization and ...

    • Computer-generated artificial life model: algorithm for hunters hunting preys 

      Haque, Md. Mahbub-Ul; Sur, Surid Imam Khan; Shahriar, Rehnuma Binta; Saha, Supti Rani (Brac University, 2021)
      This thesis simulates the behavior of predators and preys observed between a pack of wolves and a deer herd during a hunting scenario. We use the Boids flocking algorithm, an artificial life model developed by Craig ...

    • Conversational AI for companionship 

      Khan, Zakaria; Akash, Salauddin Md; Jamima, Afia Mobassira; Ishan, Isfar Hasan (Brac University, 2022-05)
      The conversational style of a human is estimated by humor, personality, voice tone, etc. These characteristics are necessary for virtual assistants that are artificially intelligent for conversation. This research ...

    • A decentralized employee performance appraisal framework for recruitment, performance prediction and ranking using permissioned Blockchain and ensemble learning 

      Anjum, Afra Antara; Islam, Sadaath; Majumder, Shaikat (Brac University, 2022-01)
      Recruitment is a crucial task for Human Resource Management (HRM) and determines the creation of a competent workforce that eventually brings tangible and intangible benefits for companies. Employees are key elements in ...

    • A decentralized learning-based approach to classify colorectal cancer using Deep Learning Leveraging XAI 

      Mubin, Kazi Ehsanul; Arthi, Noshin Tabassum; Rahman, Junayed; Rafi, G. M.; Sheja, Tahsina Tanzim (Brac University, 2022-05)
      Convolutional Neural Networks (CNN)-based automated approaches are vastly utilised to anticipate and diagnose cancer, saving time and reducing mistakes. Deep Learning (DL) CNN methods use a variety of probabilistic and ...