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Browsing Project Report by Subject "Machine learning"

Browsing Project Report by Subject "Machine learning"

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  • Sentiment Analysis on Bangla Conversation Data Using Machine Learning Approach 
    Hassan, Md. Mahmudul; Shakil, Md. Shahriar (Daffodil International University, 2021-05-31)
    This research titled “Sentiment Analysis on Bangla Conversation Data Using Machine Learning Approach” is from conversations people's sentiment during the conversation period can be extracted as valuable information. In ...
  • Sentimental Analysis on Movie Reviews Using NLP and Machine Learning Approach 
    Nisi, Zeba Fauzia (Daffodil International University, 22-08-13)
    Film is an art medium that consists of a composite collection of basic media such as literature, music, painting, photography, drama etc.It has surpassed the basic media.Film has a reputation as an influential medium and ...
  • A Smart Approach for Detecting Bangla Fake News 
    Rahman, Minhajur (Daffodil International University, 23-03-01)
    Fake news on social media and other platforms is widespread. It is a reason for great concern because of its potential to inflict significant social and national harm with negative consequences. Detection is already the ...
  • A Smart Approach for Detecting Email Spam Text Detection 
    Smritee, Farhana Akter; Sunny, Ahmed Zubayer; Al Mahadi, Sayem (Daffodil International University, 23-02-18)
    In practically every industry today, from business to education, emails are used. Ham and spam are the two subcategories of emails. Email spam, often known as junk email or unwelcome email, is a kind of email that can be ...
  • Smart Attendance System Using Face Recognition 
    Bairagi, Rupak; Islam, Md. Sabiqul; Ahmed, Remon; Tisha, Sadia Afrin (Daffodil International University, 2021-01-18)
    Taking attendance of students is one of the foremost tasks in a class for teachers at the same time pretty much complicated. The manual attendance system takes an enormous amount of time over the number of students and ...
  • Smart Farming System 
    Islam, Baig Asraful; Rakib, Md. Yusuf Hasan; Ahmed, Kawser (Daffodil International University, 2019-12)
    We live in a world that is moving rapidly towards smart systems to make every aspect of life simpler and more flexible. Today's farmers around the world are adopting many smart systems. A smart system is needed to manage ...
  • Smart Irrigation System 
    Disrty, Jannatul Ferdousi (Daffodil International University, 23-02-18)
    The irrigation system can be fully automated using the intelligent irrigation system's extensive range. Here, we use the ESP32 SIM800L microcontroller, a motor, an AC light, and solar power to create an Internet of ...
  • Smart Presence System by Using Machine Learning 
    Rahman, Mahmudur; Sultana, Boby Nasrin; Asif, Md. Mahmudul Hasan (Daffodil International University, 2022-01-04)
    If the task of ensuring the presence of an employee is completed by hand, it may be a significant load on the organization. An efficient and automatic presence system is being used to address this problem. However, with ...
  • Social Media Addiction Analysis Based on Machine Learning 
    Mim, Minjun Nahar; Tazim, Tahrima; Saha, Shama (Daffodil International University, 23-02-18)
    Social media is a necessary component of modern living. Although social media has many advantages and applications, over-usage of it has already led to immediate societal and private problems. It has become clear that ...
  • Spam Email Detection Using Machine Learning 
    Niha, Afea Ulfat; Shovo, Mahedi Hasan (Daffodil International University, 23-01-29)
    Machine learning is a limb of artificial intelligence (AI) and information technology. Supervised machine learning is a subcategory of artificial intelligence and also the machine learning which is branch of (AI). The ...
  • Student Performance Prediction Using Machine Learning 
    Hamja, Md. Amir; Uddin, Arafat; Yousuf, Md. Nur (©Daffodil International University, 2022-01-13)
    In our Research-Based Project, we are predicting student performance of students using a Machine Learning Algorithm. We have collected necessary data from the students through a Google form. We asked them several questions ...
  • Student Performance Prediction Using Machine Learning Algorithm 
    Hamja, Md. Amir; Uddin, Arafat; Yousuf, Md. Nur (©Daffodil International University, 2022-01-13)
    In our Research-Based Project, we are predicting student performance of students using a Machine Learning Algorithm. We have collected necessary data from the students through a Google form. We asked them several questions ...
  • A study on bottle gourd leaf disease recognition and classification based on efficient deep learning algorithms 
    Afsara, Labiba (Daffodil International University, 2024-01-01)
    One of the most popular crops in Bangladesh is the bottle gourd. However, the quality and productivity of the bottle gourd crop decrease due to a variety of diseases. Therefore, a deep learning-based approach to identify ...
  • A Study On Identifying Fake Reviews by Comparative Analysis of Supervised Machine Learning Algorithms 
    Dhar, Arindam; Miah, Md. Rabbi; Muhammad, Nur (Daffodil International University, 2022-01-06)
    In today’s time e-commerce sites are playing a vital role. Customers are attracted to those product companies whose reviews and quality are good. A positive review can bring fame to the company but on the other hand, a ...
  • A Supervised Machine Learning Approach To Classify Parkinson Disease 
    Al Farabi, R.I.m. Abdullah; Zhohra, Mst. Soniatuz (22-09-01)
    Parkinson's disease is a degenerative brain disease. In most cases, over the age of 50 people are affected by this disease, but nowadays, young people are also affected by this disease due to genetic reasons. Due to reduced ...
  • Survival Analysis of Heart Failure Patients Using Machine Learning 
    Huda, S.M Rakibul; Hasan, Nabid; Ahsan, Fahad (©Daffodil International University, 2022-01-13)
    In modern days heart attack has become a major disease all over the worldwhich is causing huge number of death. Heart attack at early age is a greater risk factor for the people of south Asia than the other regions. It ...
  • Tea-leaf Disease Identification Using Machine Learning 
    Paul, Apurbo Kumar (Daffodil International University, 2022-01-02)
    Tea plants have a lengthy lifespan, which makes disease management challenges. Tea leaves are commonly afflicted by bacterial, viral, or fungal infections, which significantly decrease tea production. Identifying disease ...
  • Text, face and object detection using machine learning 
    Sarker, Shuvashish; Khan, Rafikul Islam; Billah, Mohammad Masum (Daffodil International University, 2019-10-15)
    Text, Face & Object Detection using Machine Learning is an application which offers users to apply machine learning-based functionalities in the real-life event. This application will give the users to recognize text and ...
  • Thalassemia Prediction Using a Machine Learning Approach 
    Karmaker, Pushpita; Devanath, Ananyna; Akter, Shahnaz (Daffodil International University, 2022-01-03)
    Thalassemia is one kind of genetic blood disease/disorder which is caused if human body can‟t produce sufficient hemoglobin. It is known that hemoglobin is a very common essential part of anyone‟s body. RBC‟s of human ...
  • Thalassemia Prediction Using A Machine Learning Approach 
    Karmaker, Pushpita; Devanath, Ananyna; Akter, Shahnaz (Daffodil International University, 2022-01-03)
    Thalassemia is one kind of genetic blood disease/disorder which is caused if human body can‟t produce sufficient hemoglobin. It is known that hemoglobin is a very common essential part of anyone‟s body. RBC‟s of human ...

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