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Browsing Project Report by Subject "Machine Learning"

Browsing Project Report by Subject "Machine Learning"

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  • Accidental prone area detection in Dhaka Metropolitan City using machine learning models 
    Jerin, Foyjunnesa (Daffodil International University, 2024-01-01)
    Dhaka, known for its status as one of the world's most densely populated areas, grapples with numerous challenges associated with urbanization and safety. This study focuses on identifying accident-prone zones within the ...
  • Advancing sentiment analysis in Bengali: bridging linguistic gaps in NPL with machine and deep learning models 
    Al Masud, Abdullah (Daffodil International University, 2024-01-01)
    This paper presents a comprehensive study on sentiment analysis in the Bengali language, focusing on user-generated comments from online shopping websites. Despite the significant number of Bengali speakers worldwide, ...
  • Anxiety Disorder Detection Using Machine Learning Approach 
    Mim, Sharmin Sultana (Daffodil International University, 2024-01-01)
    The objective of this research is to tackle urgent problems in the early identification of Anxiety Disorder, specifically in Bangladesh. The country is renowned for its high prevalence of this mental disorder, which is ...
  • Automated Attendance System Based on Facial Recognition 
    Yasmin, Barira; Ahmed, Tanvir; Rabbi, Fazle (Daffodil International University, 2020-06-07)
    “AUTOMATED ATTENDANCE SYSTEM BASED ON FACIAL RECOGNITION”, is a Machine Learning project. This project basically without human assistance system that helps take attendance by recognizing trained students' real-time frontal ...
  • Automated Trash Detection System Using Image Processing 
    Yeakub, Md (Daffodil International University, 2024-01-22)
    In this modern world any type of detection is an important task. The reason is that in this 20th century anything can be easily found through detection. Among the several types of identification, trash detection is one ...
  • Autonomous Virtual Vehicle Using Reinforcement Learning 
    Islam, Sadman Saumik; Alam, Samia Binta (Daffodil International University, 2019-12-05)
    Artificial intelligence plays a vital role in self driving vehicle. The direction in which the automotive industry is headed it is expected that autonomous vehicles capable of driving without human supervision will be ...
  • Bangla Book review analysis with different word embedding and machine learning 
    Abdul Al Motakabbir, Md. (Daffodil International University, 2024-01-27)
    Different product review analysis recently attracted the attention of natural language processing specialists, thanks to positive customer comments and reviews spread around the web. The increasing number of e-commerce ...
  • Bangla fake news identification using deep learning and machine learning 
    Hossain, Md. Shakhawat (Daffodil International University, 2024-01-01)
    Identification of Bangla Fake News is very challenging, mostly when there is so much news from multiple online sources like social media, online news, and other online platforms. Detecting fake news is comparable in ...
  • Bangladeshi local fish detection using deep learning techniques 
    Samiu, Asrafilil (Daffodil International University, 2024-01-01)
    This study uses deep learning techniques to provide a novel method for local fish understanding in Bangladesh. The following six native fish species are represented in the extensive dataset that was painstakingly gathered: ...
  • Bangladeshi Rice & Tea Leaf Disease Detection Using Machine Learning 
    Rakib, Md. (Daffodil International University, 2024-01-01)
    Bangladesh's economy is based primarily on agriculture, with the production of tea and rice being essential to maintaining livelihoods and food security. The persistent risk of illnesses in rice and tea plants, however, ...
  • Bengali news clustering using k-means clustering based on LSA 
    Zilani, Rashedul Alam (Daffodil International University, 2024-01-24)
    Effective information retrieval and organization have become increasingly important, especially in contexts involving diverse cultural backgrounds, as the continued growth of digital content has demonstrated. The subject ...
  • A Comparative Analysis of Machine Learning Algorithms for Breast Cancer 
    Arnab Saha (Daffodil International University, 2024-01-01)
    With the rapid expansion of medical research in recent years, early diagnosis is now more critical than ever. A growing global population increases the risk of death from breast cancer, making it the second most severe ...
  • A Comparative Study on Different Machine Learning Algorithms for Achieving Accurate Prediction for Heart Diseases 
    Ghosh, Pronab; Ahmed, Khobayeb; Karmaker, Madhob (Daffodil International University, 2018-11-27)
    Over the years, heart diseases have become one of the most common causes related to death. Most of the time heart diseases are detected at the very last stage; therefore, an accurate prediction may reduce the catastrophe ...
  • A Comparative Study on Prediction of Dengue Fever Using Machine Learning Algorithm 
    Dourjoy, Saif Mahmud Khan; Rafi, Abu Mohammed Golam Rabbani (Daffodil International University, 2019-12-07)
    Dengue is one of the most common viral fever to the people. This is also known as life threatening disease. Dengue has become more and more evident this year in Bangladesh. It has taken the lives of many in our country. ...
  • A comprehensive deep neural network approach for multi-class Classification of Bangladeshi local Bananas with ripeness assessment 
    Sowrna, Nourin Jahan (Daffodil International University, 2024-01-01)
    This research employs the NasNetMobile model to address the critical task of banana disease classification, achieving an impressive accuracy rate of 97.12%. Leveraging deep learning techniques, the study focuses on ...
  • Conspiracy Detection by Real Time Email Analysis 
    Hasan, Md. Rabiul; Islam, Md. Tarikul; Ferdous, Most. Jannatul (Daffodil International University, 2018-10)
    In this thesis, we have proposed a method to turn this psychological concept into a machine that can automatically detect the conspiracy among the employee by analyzing their email data in real time. Here we have proposed ...
  • Contrastive learning approaches for ophthalmic biomarker identification: unveiling insights into eye health 
    Chamok, Farjana Haque (Daffodil International University, 2024-01-01)
    The field of ophthalmic biomarker identification plays a pivotal role in understanding and monitoring eye health. In this study, I leverage the EfficientViT_m5.r224_inlk model as our foundational framework to explore ...
  • Coronary Illness Prediction Using Machine Learning 
    Fairooz, Atia (Daffodil International University, 2021-01-15)
    After the advancement of the automated structure, AI expects to be a basic part here. A machine exhibit just likes a person. The system responds subsequently subject to learning. Accurate learning gives the accurate ...
  • Crime Rate Prediction and Spot Detection System Using Machine Learning and Data Mining 
    Mahmud, Sakib; Nuha, Musfika (Daffodil International University, 2020-07-26)
    Analysis of crime is a methodological approach to the identification and assessment of criminal patterns and trends. In a number of respects cost our community profoundly. We have to go to many places every day for our ...
  • Customer Segmentation by Using Machine Learning and E-commerce Solution 
    Bepary, Anup Chandra; Ferdous, Zannatul (Daffodil International University, 2020-07-19)
    Customer segmentation is very important for online businesses like e-commerce. To grow a business a person should understand their customers very thoroughly. That’s why customer segmentation is very important. It is also ...

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