Recent Submissions

  • 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 ...
  • Rumor detection in Bangla using machine learning & deep learning 

    Ahmed, Md Istiaq; Anoy, Shoumik Malakar; Nusrat, Elham; Ahmed, Risat (Brac University, 2022-05)
    Over the last decade, social media networks have become a vital platform for sharing and obtaining information. Nevertheless, one of the dark sides of this social media fever is rumors and fake news. Because misinformation ...
  • ML based career suggestive system for informal job sector considering cognitive skills 

    Tonny, Ms. Ayesha Siddika; Hafsa; Lavlu, Md. Tousif Hasan; Ghosh, Abhijit Kumar; Roy, Sourojit (Brac University, 2022-05)
    We are striving to build a realistic procedure by which we, particularly the future generation, will be able to choose the right career based on their capacity and interests. A few well-known international firms, including ...
  • Yoga posture recognition using the deep learning process 

    Islam, Abidul; Sadman, Zarif; Imran, Shah; Islam, Sazzadul (Brac University, 2022-05)
    Yoga is one of the best activities from home to preserve our physical condition in the present epidemic. Yoga, on the other hand, is all about performing the 82 Yoga Asanas correctly over the course of six classes. ...
  • A document vectorization approach to Resume Ranking System(RRS) 

    Nabi, Norun (Brac University, 2022-08)
    Technology transformed the way how job seekers apply for a job and recruiter’s hunting for a precise pick . Now, paper version of resume already become an outdated version of job application method. Electronic resume ...
  • Smart worker solution 

    Shuvo, K. M. Asaduzzaman (Brac University, 2023-09)
    I made the website for the people who work daily basis to live, and could not raise their voice for proper right because, we call them labor, in our county they are the lowest living status people. I’ve seen all the time ...
  • Federated GAN based biomedical image augmentation and classification for Alzheimer’s disease 

    Roy, Aditya; Rahman, Md. Mahbubur; Ahmed, Shafi (Brac University, 2022-09)
    Federated Learning (FL) is a distributed machine learning approach that can de velop a global or customized model from scattered datasets on edge devices using federated datasets. ‘Federated GAN Based Biomedical Image ...
  • Internship at Star IT ltd: A real experience to gain knowledge as a web developer 

    Shila, Saima Sanjida (Brac University, 2022-09)
    Web developing has become now a growing sector of IT sectors all over the world. Web developing and maintaining that websites is both inevitable. Now-a-days, all growing companies needs their own websites and they rely ...
  • Home Automation System Based on IoT 

    Islam, Asraful; Nasif Talukder, Md Shahriar; Hossain, Sajid; Ul-Kabir, H.A Ibtihaz (Brac University, 2022-09)
    Home automation was created primarily to assist and support the elderly and dis abled at home. Home appliances are designed based on a computer device platform to automate the use of a Bluetooth and wireless interface ...
  • 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 ...
  • 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 ...
  • Smart automated fruit freshness recognition system using image processing and deep learning 

    Shil, Prantha; Rahman, Zisanur; Bin Jalil, Jawad; Bin Sakib, Kazi Rishad; Hossain, Md. Tamim (Brac University, 2022-09)
    Bangladesh is one such country with a tropical monsoon climate typified by significant seasonal rainfall, high temperatures, and high humidity. A wide range of tropical and subtropical fruits are abundant in Bangladesh. ...
  • Predicting Urban trends of growth with Google Earth Engine 

    Islam, Rifah Tasmiah; Mim, Md. Shahriar; Tahiat Seeum, Nur Fathiha; Ahmed, Tahmina; Nawar, Tabassum Tanzim (Brac University, 2022-09)
    Land Usage is one of the most pressing concerns confronting the landscape of Bangladesh due its heavily dense population and limited area. Rapid urbanization has been seen in different parts of Bangladesh, so factors ...
  • Accuracy of data analysis on university student's major subject and job sector prediction using KNN and decision tree algorithm 

    Ahmed, Istear; Karmakar, Tushar; Anadi, Iffat Sumaita; Azad, MD.Shahriar; Sharif, Faiza Ibnat (Brac University, 2021-09)
    The students are at a loss when it comes to choosing their major or field of work due to inefficient school system and decision making of the parents. This problem can be resolved to some extent by using classifiers. ...
  • Predicting suicidal intent from social media text post using machine learning 

    Chowdhury, Md. Mubin Ul Islam; Hasan, Mehadi; Nayem, A.K.M Muhibullah; Meem, Humaira Tasnim (Brac University, 2022-05)
    We are living in an age of modern science where cutting-edge technology has made the world so small. We can now easily connect with people worldwide via the internet and using social media. Social media has become a popular ...
  • An efficient deep learning approach for brain tumor detection using 3D convolutional neural network 

    Ali, Syed Muaz (Brac University, 2022-09)
    In medical application, deep learning-based biomedical pixel-wise detection through semantic segmentation has provided excellent results and proven to be efficient than manual segmentation by human interaction in various ...
  • 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 ...
  • Travel and Tourism Management System Bangladesh (Beriye Pori) 

    Zubairy, Mahmudur Rahman (Brac University, 2022-09)
    As tourism is becoming more and more popular, the requirements of the tourists are getting more complicated. Now, as the traditional travel websites with basic information or a pricing list of hotels, transportation ...
  • A permissioned decentralized blockchain-based mobile banking system with privacy and security 

    Ansary, A. A. Noman; Jim, Syed Nur.A.Rabbi; Labeeba, Lamya; Hasan, Kashfia (Brac University, 2022-09)
    With technological advancement in Bangladesh’s FinTech, more and more security related challenges are emerging. From, Nagad, a government FinTech company, withholding the transaction ability of their consumers due to ...
  • Retinal Diseases Detection using Deep Learning 

    Mashfi, Shahriar; Roy, Amit; Abdullah, Riasat; Ahmed, Fahim; Khan, Sazid Hayat (Brac University, 2022-09)
    Retina is an important aspect of human vision because it converts light rays into images and sends messages to the brain. We run the danger of suffering long-term harm to the eyesight if we have a problem with our retina ...

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