Browsing by Subject "Artificial intelligence."

Now showing items 1-20 of 23

    • Alumni opportunities using machine learning 

      Siaum, Arshif Sharlimin; Amin, Md. Jawad; Islam, Kamrul (BRAC University, 2018-12)

    • Application of machine learning in credit risk assessment: a prelude to smart banking 

      Dhruba, Mir Ishrak Maheer; Ghani, Nawab Haider; Hossain, Sazzad; Shoumo, Syed Zamil Hasan (BRAC University, 2018-12)
      A precise credit risk assessment system is vital to a financial institution for its proper and impeccable functioning. Accurate estimations of credit risk will allow them to continue their operation in a gainful and ...

    • 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 ...

    • An artificial intelligence-enabled crop recommendation system 

      Uddin, Raiyan; Barua, Mrinmoy; Kabir, Mohammed Hossain; Nufayel, Muhammed; Sajid, Abu Sadman (Brac University, 2023-01)
      Our country is overburdened with a population of more than 160 million. So fulfilling the need for food for the whole population can be overwhelming. This research has been conducted to ensure maximum efficiency in ...

    • 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. ...

    • Comparative analysis of machine learning techniques in optimal site selection 

      Aurnab, Aukik; Choudhury, Shaktiman; Ruhan, Shoubhick Roy; Rifaiya Abrar, Shikh Muhammad; Hossain Rabbi, S.M. Riyadh (Brac University, 2023-01)
      Site selection is a crucial aspect of many businesses, as a company’s location can sig nificantly impact its success. In recent years, machine learning techniques have been increasingly used to assist with optimal site ...

    • Comparison of machine learning techniques to predict cardiovascular disease 

      Jaber, Mir Mohammad; Raad, Tahmid Imam; Tasneem, Tasfia (BRAC University, 2018-12)
      The purpose of this thesis is to examine and compare the accuracy of different data mining classication systems through different machine learning techniques to predict cardiovascular disease. This comparison shows the ...

    • Early threat warning via speech and emotion recognition from voice calls 

      Ishtiak, Ifaz; Rahman, Mohammad Mazedur; Usmani, Md.Razaul Haque (BRAC University, 2018-12)
      The aim of this system is to identify potential cases of threats, and provide an early warning or alert to such cases. This will be based on voice such as voice chat over telecommunication networks or social media. The ...

    • EMG controlled bionic robotic arm using artificial intelligence and machine learning 

      Rupom, Farhan Fuad; Johan, Gazi Musa Al; Jannat, Shafaitul; Tamanna, Farjana Ferdousi (Brac University, 2020-04)
      Electromyography is a unique approach for recording and analyzing the electrical activity generated by muscles, and a Myo-electric controlled prosthetic limb is an outwardly controlled artificial limb which is controlled ...

    • Fruit and vegetable freshness detection using deep learning 

      Haque, Md. Mahidul; Ahmed, Rehanul; Saha, Somak; Saha, Chamak; Dutta, Mayurakshmi (Brac University, 2022-09)
      Bangladesh’s economy depends on agriculture, which contributes significantly to GDP. It’s time to automate agriculture for increased productivity, efficiency, and sustainability. Computer Vision can assist in ensuring ...

    • Handwritten Bangla character recognition to braille pattern conversion using image processing and machine learning 

      Abir, Tawhidur Rahman; Ahmed, Touseef Saleh Bin; Rahman, Md. Tausif; Jafreen, Sumaiya (BRAC University, 2018-12)
      There has been significant development in the recent Education System with the rapid development of technology however there are very few facilities that can help those people with disabilities such people without sight. ...

    • Heart disease prediction system 

      Amit, Tayab Al Azad; Fullkoli, Raida Nawar; Palit, Niloy; Nafisa, Farhana Khan; Binoy, MD Muntakim Ahmed (Brac University, 2022-01)
      [1]According to the World Health Organization (WHO), 17.9 million people die each year due to cardiovascular diseases (CVDs), almost 31% of all deaths worldwide. This single piece of evidence is strong enough to describe ...

    • A hybrid deep learning model and explainable AI-based Bengali hate speech multi-label classification and interpretation 

      Shakil, Mahmudul Hasan (Brac University, 2022-09)
      Data innovation has moved quickly in recent years, and various unfavorable alter ations have been made to the network medium. Social media platforms like Face book, Twitter, and Instagram are becoming more and more popular ...

    • Implementation of neural network in game engine to create smart bot and behavior analysis 

      Shovon, Zamshed Khan; Ahamed, Kaisar; Khan, Tanvir Akram; Hasan, Saad Ziaul (BRAC University, 2018)
      Virtual game players always had a desire for playing with an opponent that acts intelligently like a human. That is why MMO (Massive Multiplayer Online) games have gained huge popularity. Programmers have developed and ...

    • Implementing A.I based solutions to understand & predict consumer sentiment 

      Bin Ahmed, Omar (Brac University, 2022-09)
      This report reflects my 12 weeks of work experience at Tech Garlic LTD. And also, my observation and workflow of analyzing customers’ sentiments of different brands using an Artificial Intelligence-based solution called ...

    • Machine learning approach for ECG analysis and predicting different heart diseases 

      Tithi, Sushmita Roy; Aktar, Afifa; Aleem, Fahimul (BRAC University, 2018-12)
      In the modern world, there have been some revolutionary advancement in the field of medical science and research and this is no different for electrocardiogram. Electrocardiogram (also abbreviated as ECG) illustrates the ...

    • Multimodal approach to human detection in unconstrained environments using YOLOV7 for conventional, infrared & thermal cameras 

      Rukaiya, Maymuna; Khan Soumik, Md. Muhtadee Faiaz; Sakib, Sazzad Hossan; Islam, Md. Ashikul; Ishrak, Mohammad Farhan (Brac University, 2023-01)
      Search and rescue operations in disaster-stricken areas are often hindered by chal lenging environmental conditions, such as poor visibility, limited lighting, and high levels of noise and clutter. These conditions can ...

    • Multimodal human detection in disaster situations using deep learning & artificial intelligence 

      Rafat, Md. Tasbi; Hridy, Fahmida Ahmed; Zaman, Rafid Ibna; Santo, Hasibul Hassan; Siddique, Ibrahim (Brac University, 2022-09)
      Mankind has faced natural calamities for survival since the very beginning of human civilization. Even after 65 million years, mankind is still figuring out ways to face natural calamities and survive its post-consequences ...

    • PDFGuardian: An innovative approach to interpretable PDF malware detection using XAI with SHAP framework 

      Rahman, Tahsinur; Ahmed, Nusaiba; Monjur, Shama; Haque, Fasbeer Mohammad; Kabir, Naweed (Brac University, 2023-01)
      As the world is moving more and more towards a digital era, a great majority of data is transferred through a famous format known as PDF. One of its biggest obstacles is still the age-old problem: malware. Even though ...

    • RED-LSTM: Real time emotion detection using LSTM 

      Labiba, Mansura Rahman; Jahura, Fatema Tuj; Alam, Sadia; Binte Morshed, Tasfia; Rahman, Wasey (Brac University, 2023-01)
      The development of the Internet of Things and voice-based multimedia apps has allowed for the association and capture of several aspects of human behavior through the use of big data, which consists of trends and patterns. ...