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Browsing Project Report by Subject "Machine learning"

Browsing Project Report by Subject "Machine learning"

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  • Air Quality Analysis and Prediction of Local Area 
    Rume, Md. Sazzad Hossain; Hasan, Md. Rakib (Daffodil International University, 2021-01-31)
    Currently, in many industrial and urban area of Bangladesh, analyzing and predicting air quality has become one of the most essential activities. The nature of air is favorably influenced due to Different types of pollution ...
  • Airlines Ticket Price Prediction Using Machine Learning Approach 
    Riaz, Ashiqur Rahman; Rahman, Dewan Sakibur; Sakib, Nazmus (Daffodil International University, 22-08-12)
    The price of airline tickets is the most unstable thing nowadays. It changes abruptly during the morning and evening time. The passengers are always looking to get the tickets at the lowest price, on the other hand the ...
  • Alumni Job Analysis & Success Rate Prediction by Machine Learning Techniques 
    Mostakim, K. M.; Rahman, Anisur; Rahaman, Sohanur (Daffodil International University, 2021-06-01)
    Machine getting to know makes a specialty of the development of Computer packages which could get records and use it to discover on their own. This thesis centers on the job analysis of the Alumni. The job analysis helped ...
  • Analysis and Prediction of Cholera Disease using Machine Learning Algorithms 
    Shabab, Roisujaman (Daffodil International University, 2021)
    In this research, we have investigated Cholera disease and its fatality rate from previous years in terms of various countries. This disease is not new, yet researchers are currently utilising several approaches to detect ...
  • An Analytical Heart Disease Prediction System Using Machine Learning 
    Rakib, Zahidul Islam; Neon, Mohammad Nadim Mahmud; Rahman, Sadiqur (©Daffodil International University, 2021-10-13)
    Heart disease is the top cause of mortality in every country on the planet, according to the World Health Organization. Every year, hundreds of individuals all over the world lose their lives as a result of this disease. ...
  • Apply Machine learning approach to predict the Breast Cancer Tumor Type 
    khan, Tanjed Ahmed; Islam, Md. Shahidul; Ullah, S.M Aman (Daffodil International University, 2019-11)
    Maximum people around the world use mobile phones as well as those in under resourced communities. This availability of the mobile phone creates a huge field of mobile health education technology which can gift a promising ...
  • Applying Machine Learning Approach To Predict Annual Yield of Major Crops and Recommend Planting Different Crops in Different Seasons in Bangladesh 
    Jemi, Arminara; Miah, Faysal (Daffodil International University, 23-01-29)
    The Bangladesh economy heavily depends on agriculture. Bangladesh's agricultural sector is crucial for providing jobs, income, and GDP. Considering how dramatically the human population is growing, crop output is the primary ...
  • An Approach To Detect Melanoma Skin Cancer Using Fastai CNN Models 
    Mia, MD Shazzad; Mim, Sumaiya Mustari (Daffodil International University, 23-01-18)
    Skin cancer, which can be lethal, is essentially the improper proliferation of skin tissues. It has recently developed into one of the most dangerous sorts of additional malignancies in humans. Early detection may help ...
  • An Approach To Detect Melanoma Skin Cancer Using Fastai CNN Models 
    Ahmed, Sheikh Shamshad; Nahar, Kamrun; Saha, Dipto (Daffodil International University, 23-01-29)
    Handwritten identification has been one of the top study topics for all researchers. Because of the ease and improved comprehension of their own language scalability with technology. For this purpose, we created a model ...
  • Ascertaining and Resolving Market Instability by Foretelling Ginger Price in Bangladesh Using Machine Learning Approach 
    Polton, Ahasan Habib (Daffodil International University, 23-02-12)
    The unpredictability of markets and the fluctuation of prices is a feature that is commonplace throughout the entire world, but it is more widespread in Bangladesh. As a direct result of this, the costs of the things we ...
  • Attendance System Management Using Face Recognition 
    Mishkat, Mohammad; Khan, Md. Nura Rabbi; Arifa, Fhamida Akhter (Daffodil International University, 2019-12-07)
    “ATTENDANCE SYSTEM MANAGEMENT USING FACE RECOGNITION” is a Machine Learning project. This project helps to take attendance by recognizing trained students real time image. It will make taking attendance easy. Its user ...
  • Audio Speech Recognition in Bengali Language Male Female and Third Gender Based on Supervised Learning 
    Sheikh, Shoeb; Sejuti, Taranga Saha; Era, Isnat Jahan (Daffodil International University, 23-03-01)
    Is human voice frequency an integral part of vocal production, in which the vocal cords are the main source of sound? Using our hearing ability we can easily identify the classification of male, female and third gender ...
  • Automated Classroom Humidity Control System 
    Yasir, Abdullah Al Mahmood; Sharif, Mohammed Fahim Hasan; Ahmed, Nasur (©Daffodil International University, 2020-12-19)
    This is 21st century, which basically called the era of science and technology on the other hand this is also the time of globalization and digitalization. With the advancement of new technology we gather new experience ...
  • Automatic Detection and Recognition of Object to Help Visually Impaired People While Visiting Liberation War Museum in Bangladesh 
    Sajeeb, Md. Nahiduzzaman; Ankhi, Mst. Afsana Akther (Daffodil International University, 2021-01-31)
    This paper offers an overview of target recognition through grouping of numerous images and machine learning methods for the blind. Our system has been developed based on speech recognition to allow blind people to learn ...
  • Bangla Fake News Detection Using Machine Learning and Deep Learning Methods 
    Tusher, Shakib Ahmed; Shawan, Md.Shameem Alam; Akter, Mst.Farhana (Daffodil International University, 2022-01-04)
    Fake news detection is as important as cleaning crime from the society. In this digital era spreading violence and manipulating people deception towards an issue become very easy than ever. More and more authentic news ...
  • Bangla Guruchandali Dosh Sentence Detection Using Machine Learning Techniques 
    Das, Rozanee Kanta; Tinni, Alaya Refat; Rinvee, Tanjina Zaman (Daffodil International University, 2022-01-04)
    Our life is surrounded with technology and we can’t live without this technology. Technology is upgrade day by day. Using Natural Language Processing (NLP) techniques computer can understand human language. Now a days, ...
  • Bangla Handwritten Digit Recognition Using Convolutional Neural Network 
    Datta, Dip (Daffodil International University, 23-02-18)
    Handwritten digit recognition is the process of automatically identifying and interpreting handwritten digits, such as those found on a bank check or a handwritten phone number. In Bangladesh, this technology could be used ...
  • Bangla Hate Speech Detection by Machine Learning 
    Choudury, Md. Asfi Hossain (Daffodil International University, 2022-01-02)
    The type of speech that takes place online intends to attack an individual or a group based on religion, ethnicity, gender, disability and even based on the color of their skin. Some popular social media in Bangladesh ...
  • Bangla movie success prediction using machine learning 
    Nasrin, Sonia (Daffodil International University, 2019-05-26)
    In present world, machine learning techniques and models are used to predict future. Prediction the movie success before its release has been an immense point of concern for movie industry related all people, especially ...
  • Bangladesh Related Factoid Question Classification Using Machine Learning Techniques 
    Hossain, MD. Jahid; Hossain, MD. Nahid; Nowmi, Sadiha (Daffodil International University, 23-01-29)
    Question answering (QA) is a branch of natural language processing research that is aimed to give human users a simple and practical information retrieval application. Despite being one of the most widely spoken languages ...

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