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Browsing Project Report by Title

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  • Face Recognition in E-Attendance System 
    Moniruzzaman (Daffodil International University, 23-01-29)
    I offer a theoretical explanation for the neurological, perceptual, and cognitive variations that are discernible in the individuation of faces and the categorisation of objects at the entry- and subordinate-levels. After ...
  • Face Recognition with and Without Mask Using Machine Learning Approach 
    Rahman, Md. Ashikur; Masum, Mizanur Rahman (Daffodil International University, 23-01)
    The global spread of COVID-19 has had an immediate effect on our everyday lives by disrupting international commerce and transportation. Mask use is highly recommended to prevent the spread of illness. Consequently, covering ...
  • Facial Emotion Detection in Real Time using Machine Learning 
    Akter, Nafia (Daffodil International University, 2019-09-12)
    Emotion is a key component in a person’s life. Anyway at some point it is hard to comprehend feelings that an individual need to express.What's more, comprehend feelings conveyed in such continuously because of mind ...
  • Facial Emotion Recognition Using Convolutional Neural Network 
    Shakib, Shakiur Rahman (Daffodil International University, 2021-09-09)
    Human face emotion recognition is an easy thing, but it is difficult when someone uses an algorithm to do this. It's a powerful task and also challenging. Six categories of human face emotion are recognized here. ...
  • Facial Expression Detection using Machine Learning 
    Tawhidul, Md.; Akhi, Asma Sadia; Eva, Nusrat Jahan (Daffodil International University, 2021-01-28)
    Now-a-days people are very much comfortable with images, anything in an image is representation of something. Also a human face is representation of a facial expression. From a human image we can find facial expression ...
  • Facial Expression Recognition of Pets Using Deep Learning 
    Rafi, Muntasir Ahmed (Daffodil International University, 2024-01-29)
    Understanding the emotional states of pets is a significant aspect of their well-being and effective communication between humans and animals. This research investigates the development of a deep learning-based system ...
  • Facial Expression Recognition using Machine Learning 
    Nabila, Nishat Tasnim; Umayra, Ebnath (Daffodil International University, 2022-02-24)
    This is a research based project named “FACIAL EXPRESSION RECOGNOTIONUSING MACHINE LEARNING.” Nowadays, Machine Learning(ML) has played a vital role in modern technology. For facial detection, recognition, and detection ...
  • Facial Recognition Robot with Voice Control by Smartphone 
    Hasib, Md. Abdul; Bir, Subrata; Pavel, Bakibillaha (Daffodil International University, 2021-01-14)
    Regarding the development of modern technology, we are not only using the machine but also, we are connected with it in so many ways. For different reasons, the products which are producing from software industries is ...
  • Facial Sentiment Recognition using Convolutional Newral Network 
    Ahmmed, Md. Nasiruddin; Islam, Md. Shoriful (Daffodil International University, 2019-09-12)
    In this paper, we apprise seven feelings and poor and nice emotion consciousness manners using facial pictures and the improvement of software program-based totally on the method. In previous researches, there are ...
  • Fake Hilsa Detection Using Machine Learning Algorithm 
    Islam, Merajul; Rahman, Abdur; Ani, Jannatul Ferdous (Daffodil International University, 2021-06-01)
    Hilsa is the national fish of Bangladesh. Bangladesh is earning a lot of foreign currency by exporting this fish. Unfortunately, in recent days some unscrupulous businessmen are selling fake Hilsa fishes to gain profit. ...
  • Fake Image Detection Using Convolutional Neural Network 
    Ahmad, Md Fahad; Khan, Zobaer (Daffodil International University, 2019-09-13)
    Nowadays many fake images are expanded through digital media and many newspapers. Images are often directed with the intent and purpose of benefiting one party. In fact, the images are often seen as the reveal of a fact ...
  • Fake News Detection Using Data Mining Techniques 
    Hasan, MD: Mehedi; Harun-Or-Rashid, MD: (Daffodil International University, 2019-12-10)
    Social Media is becoming the most popular web site to seek news day by day because of the easy access facility worldwide. It’s very cost-effective and people can easily collect news & entertainment from any corner of the ...
  • Fake News Detection Using Machine Learning 
    Mahfuz, Rahat; Musa, Mahmudul Hasan (Daffodil International University, 23-03-29)
    Fake news on social media and other platforms is widespread, and it is a reason for great concern because of its potential to inflict significant social and national harm with negative consequences. Detection is already ...
  • Fake News Detection Using Machine Learning Algorithm 
    Hosen, MD Alamin; Mony, Akhi; Hasan, MD Touhid (Daffodil International University, 2022-01-04)
    Recent years have seen an explosion in social media usage, allowing people to connect with others. Since the appearance of platforms such as Facebook and Twitter, such platforms influence how we speak, think, and behave. ...
  • Fake News Detection Using Machine Learning Approach 
    Molla, MD. Abdus Salam; Ahmed, Raunak (Daffodil International University, 22-09-12)
    People are getting more exposed to fake news as their use of the web increases. to get notoriety while profiting from clickbait news outlets and social media, The media promotes incorrect information to deceive people. ...
  • Fake News Detection using Machine Learning with NLP 
    Hossain, Md. Mesbah (Daffodil International University, 2021-05-31)
    With the advancement of technology, fake news has become a common trend. It has the ability to cause harm to citizens, protests, and even a threat to democracy. It gives agitators the ability to spread fake news or false ...
  • Fake News Detector 
    Miah, Toslim (Daffodil International University, 23-02-18)
    With the new social media prosperous, the feast of fake news has become a countless nervousness for everybody. It has been cast-off to manipulate public opinions, effect the election - most notably the US Presidential ...
  • Fake Review Monitoring System 
    Mahbub, Md. Sabil; Hasan, Mehedi; Pias, Rafiqul Alam (©Daffodil International University, 2022-01-13)
    Our project “Review Monitoring System” is based on web platform. The goal of the this application is to catch users interaction in webpage and their reviews. Here every comments and reviews are filtered using code. To ...
  • Fake Website Detection Using Machine Learning & ANN 
    Himu, Mahbuba; Supty, Shamima Afrose (Daffodil International University, 2022-01-04)
    Day after day the number of internet users increases, phishing has grown increasingly breakneck. Phishing attacks pose a serious threat to people’s daily lives and the online environment. For example, the attacker poses ...
  • Fake Website Detection Using Machine Learning & ANN 
    Himu, Mahbuba; Supty, Shamima Afrose (Daffodil International University, 2022-01-04)
    Day after day the number of internet users increases, phishing has grown increasingly breakneck. Phishing attacks pose a serious threat to people’s daily lives and the online environment. For example, the attacker poses ...

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