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Browsing Project Report by Subject "Machine Learning"

Browsing Project Report by Subject "Machine Learning"

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  • Liver Disease Prediction Using Machine Learning Approaches 
    Bhuiyan, Md. Abdur Rahman (Daffodil International University, 2019-12-06)
    For the perdition of different diseases to make the best feasible clinical care decisions it is very essential to take the right decision from medical doctors. If the doctor takes their improper decisions, it could be ...
  • Machine Learning approach for predicting temperature in Bangladesh 
    Rizvee, Md. Arif (Daffodil International University, 2018-12)
    Our country has six seasons. Though temperature remain high during summer season in Bangladesh. For global worming Bangladesh weather is also changing. As a result temperature in Bangladesh is increasing day by day. For ...
  • Machine Learning Based Skin Disease Classification 
    Bhuiyan, MD. Zayed Hassan; Monshi, MD. Tamjeed (Daffodil International University, 23-02-18)
    Skin is the most sensitive and the largest organ in our body. Globally more than 35 million people are regularly affected by many types of skin-related diseases. Skin disease is too much danger in Bangladesh for people's ...
  • MACHINE VISION BASED LOCAL FISH RECOGNITION 
    JOYE, TASNEM AHMED; SHARMIN, ISRAT; ISLAM, NUZHAT FARZANA; JAHAN, ISRAT (Daffodil International University, 2018-12-09)
    Every single country has its own tradition which help to identify its self differently in front of the whole universe. Like others our county has some abundance too. River dimensional, this country is the state of sweet ...
  • Machine Vision Based Potato Species Recognition 
    Nuruzzaman, Md; Hossain, MD. Shahadat; Rahman, Md Mostafijur (Daffodil International University, 2020-07-18)
    One of the bound vegetable elements of our daily life is the potato. There are 4200 kinds of potato species and among them, 82 kinds are found in Bangladesh. It is usually grown for numerous reasons apart from having as ...
  • Mango Species Prediction from Leaf Using Convolutional Neural Network 
    Islam, Md. Ariful (Daffodil International University, 2020-07-09)
    Convolutional Neural Network (CNN) is a vast area of researches in Machine Learning. Various types of researches are using Artificial Intelligence (AI) in agricultural fields, medical sectors for detecting diseases. This ...
  • Mental Anxiety and Depression Detection During Pandemic Using Machine Learning 
    Quadir, Ryana (Daffodil International University, 2020-12-28)
    As the novel coronavirus pandemic sweeps the globe and people take to their homes to avoid getting and spreading the contagion, it makes proper sense that much of the conversation about this is taking place online. With ...
  • A Method for Object Detection to Help Blind People Using Machine Learning 
    Hasan, Md. Mahamudul; Ahmmed, Faysal; Haque, Md. Hasanul (Daffodil International University, 2021-01-28)
    The proposed project is made for blind people for detecting object in outdoor and indoor both. There are huge numbers of blind people on the world. According to World Health Organization (WHO) there are about 285 million ...
  • Prediction of Facebook Addiction Using Machine Learning 
    Islam, Md. Zahirul; Jannat, Ziniatul (Daffodil International University, 2020-07-26)
    In this modern age, social media is a part and parcel of our everyday life. Our daily life is undergoing multiple changes that directly have positive and negative effects. Social media has a positive and negative side ...
  • Project Report on A Machine Learning Approach To Detect Diabetic Retinopathy 
    Saha, Pratim (Daffodil International University, 2020-10-12)
    Diabetic Retinopathy is an eye disease that affects mainly the retina. It is the consequence of long-standing Diabetes which results as blood leaks from the retinal blood vessels onto the retina. It is one of the most ...
  • Real time Weapon Detection Using Convolutional Neural Network 
    Jubaer, A. N. M.; Sayem, Abu (Daffodil International University, 2020-05-06)
    Security is a big issue these days. People are becoming violent and the tendency to be armed is being noticed. Carrying a pistol or knife is now very common. Security guards are trying their best, but we think technology ...
  • Risk of Dental Disease Prediction Using Machine Learning 
    Rimi, Iffat Firozy; Akter, Sharmin (Daffodil International University, 2020-10-08)
    Now a day’s dental disease is the major health problem in Bangladesh. So dental care is important to most people in our country. But the cost of dental care services is increasing day by day. We will predict the risk of ...
  • Self-Configuring Convolutional Neural Network using Evolutionary Algorithm 
    Arfin, Md. Hafizur Rahman; Islam, Md. Majedul (Daffodil International University, 2019-12-05)
    One of the key drivers of today’s AI revolution is an improvement in the field of deep learning. The evolution of deep learning along with big data and the improvement in the hardware industry impacted the Artificial ...
  • Student Career Guidance Recommendation System Using Machine Learning Algorithms 
    Shahed, Norul Moktader; Rabby, Md. Fazlay; Sarker, Monisha (Daffodil International University, 2020-10-06)
    Career Counseling is a major topic for our students to choose the appropriate field of study after completion of high school. Student always hesitates to choose their field of study which is a crucial part of their life, ...
  • Student Performance Prediction Using Machine Learning Approach and Data Mining Techniques 
    Rony, Md. Anisur Rahman; Amithy, Nujhat Tabassum; Amir, Meherin (Daffodil International University, 2020-07-26)
    Nowadays Data Mining and Machine Learning Algorithms have made our work easier by developing prediction capability. We can implement Data Mining and Machine Learning Algorithms in many sectors. Among those, education is ...
  • Sugarcane Stem and Leaf Disease Prediction Using Deep Neural Network 
    Sharif, Md. Shahin (Daffodil International University, 2020-07-09)
    Deep convolutional neural network is a diverting area where researches and achievement are taking excellent progress in agriculture field. The most recent enhancements in computer vision formulated thorough deep learning ...
  • Symptom Wise Age Prediction of Cancer Patient Using Classifier Comparison and Feature Selection 
    Rashid, Mohammad; Khan, Md. Nayem Ferdous; Biswas, Avijit (Daffodil International University, 2019-12-05)
    Cancer has become one of the most life threatening disease over the past few decades. Especially on Bangladesh the number of people being affected by cancer is increasing in an agitating rate. Again cancer, diagnosed ...
  • Visa Prediction for Higher Studies Using Machine Learning 
    Sultan, Md Tipu; Shad, Sk Hasibul Islam; Ahmmed, Asif (Daffodil International University, 2020-07-26)
    Computer science is arguably one of the most common fields across both Bangladesh and the world today. It is obvious that a statistically significant percentage of learners struggle to achieve the peak of this discipline ...

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