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Project Report: Recent submissions

Now showing items 101-120 of 3310

Revolutionizing agriculture: unveiling yolov-8- powered multi-labled seeds segmentation

Al Fahim, Hafiz; Abid Hasan, Md. (Daffodil International University, 2024-07-24)

There is a wide range of dry seeds in the world. The quality of seeds significantly impacts crop production. Hence, seed classification is vital for both marketing and production, serving as the foundation for sustainable ...
Deep learning based advance image processing for bone fracture detection

Islam, Md. Saim; Rahman, Syed Asif (Daffodil International University, 2024-07-24)

Bone fractures are widespread in different age groups; hence, making the medical interventions more effective and accurate demands the application of the most precise diagnostic techniques. The traditional procedures for ...
Bangla Braille Character Recognition using Convolutional Neural Network

Imtiaz, Fahim (Daffodil International University, 2024-07-24)

Through the creation of a Convolutional Neural Network (CNN)-based model that is inspired by the YOLO architecture, the purpose of this thesis is to find a solution to the substantial difficulty of Braille character ...
Image Analysis for Detecting Wildfire Using Deep Learning

Sifat Bin Solaiman, Sifat Bin (Daffodil International University, 2024-07-24)

Approximately 80% of the total organisms on Earth rely on trees for sustenance and shelter. Homo sapiens mostly inhabited forested environments throughout their existence. Wildfires have the potential to do harm to ...
A web based application for swift and accurate cotton leaf disease classification using deep learning approach

Shikder, Md. Habibur (Daffodil International University, 2024-07-24)

This report focuses on advancements in cotton leaf disease detection, aiming to address agricultural challenges and promote sustainable farming practices. Leveraging deep learning models such as VGG16 (93.80% accuracy), ...
Detection of potato leaf disease using deep learning approaches

Rayhan, Abu (Daffodil International University, 2024-07-24)

Throughout the globe, potatoes are one of the most important food crops. Potato farming has grown quite common across Bangladesh in the previous few decades. Plants of potatoes cannot grow properly under several conditions. ...
Liver cirrhosis prediction using a machine learning approach

Khan, Jidan (Daffodil International University, 2024-07-13)

Liver Cirrhosis Prediction is a crucial area of research aimed at improving the accuracy and effectiveness of identifying liver cirrhosis cases. This study explores the performance of three classification algorithms, ...
Cyberbullying detection from Bangla social media comments using machine learning

Hasan, Md. Nayeem; Jubayer, S.M Anzumul (Daffodil International University, 2024-07-24)

Cyberbullying is becoming more common and is a big problem for people's mental health and for society. We need strong monitoring systems that can work in a variety of Bangla language contexts. The main goal of this study ...
Predictive modeling and risk assessment for copd using a machine learning approach

Riad, S. M. Fardin Foyes; Fahim, Nahid Arman (Daffodil International University, 2024-07-24)

Chronic obstructive pulmonary disease (COPD) is a major worldwide health concern, impacting millions worldwide by its progressive and debilitating effects. This study aims to develop personalized machine learning models ...
A machine learning approach: predicting the number of dengue patients in Bangladesh based on climate changing data

Akter, Jeny (Daffodil International University, 2024-07-24)

Aedes aegypti mosquitoes are the vector of dengue fever, which can cause fatalities. Symptoms range from mild flu-like symptoms to severe diseases like shock syndrome and dengue hemorrhagic fever. In light of climate-related ...
Exploring the relationship between dengue and environmental factors in Dhaka using machine learning Md. Asik Reza Tasin

Tasin, Md. Asik Reza (Daffodil International University, 2024-07-24)

My thesis explores how environmental factors like temperature, humidity and rainfall contribute to the spread of dengue fever in Dhaka of Bangladesh. Rapid urbanization and a dense population have created ideal conditions ...
Harnessing embedded technology for smart tobacco agriculture with arbuscular mycorrhizal fungi and organic fertilizers.

Ferdoush, Raisa; Afsar Ikram, Mohammad Nurul (Daffodil International University, 2024-07-24)

The research titled “Harnessing Embedded Technology For Smart Tobacco Agriculture With Arbuscular Mycorrhizal Fungi and Organic Fertilizers” show the important insights about embedded technology based Smart Agriculture ...
Prediction of stress level based on physical activity using machine learning

Luba, Israk Jahan (Daffodil International University, 2024-07-24)

Stress has become a major risk factor in today’s world, which affects different people from different demographics. This research uses a large dataset with various physiological and behavioral factors to present a novel ...
Predictive-Probability Analysis and Preventive Strategies for Hemorrhoids:

Saha, Sajib; Jahan, Tahsin (Daffodil International University, 2024-07-24)

In the world millions of people suffer from hemorrhoids. It is a medical condition that frequently requires prompt intervention for effective management. In this paper, we suggest a machine learning-based method for ...
Online Doctors Appointment System (Medicare

Rahman, Md. Masudur (Daffodil International University, 2024-07-24)

Medicare is an innovative healthcare platform designed to revolutionize the way patients and healthcare providers interact. This project offers a comprehensive solution for booking and canceling doctor appointments, ...
Exploring the Nexus Between Drug Addiction and Suicidal Tendencies in Bangladesh

Kibria, Golam; Tisha, Tasnim Umaer (Daffodil International University, 2024-07-24)

Bangladesh, a country experiencing fast socioeconomic transformation, is dealing with a new concern, the intertwined shadows of drug addiction and suicidal tendencies. This study dives into this complicated intersection, ...
Multi-Label Hostility Classification in Bangla Text

Islam, Md. Raisul; Hossen, Md. Abir (Daffodil International University, 2024-07-13)

There is an immediate demand for automated systems that can identify and handle hostile content due to the quick spread of online communication platforms. This study tackles the problem of multi-label hostility categorization ...
Sentiment analysis of Bangla customer reviews on daraz using deep learning approach

Asif, Nur-A-All; Ghosh, Mithila (Daffodil International University, 2024-07-13)

This study examines the effectiveness of deep learning models for sentiment analysis of Bangla customer evaluations on the Daraz platform. The researchers developed and evaluated various models, including CNN, LSTM, GRU, ...
Advanced imaging techniques for lung cancer diagnosis with deep learning

Talha, Tuhanur Haque; Rayhan, Md. Tahamid (Daffodil International University, 2024-07-13)

Cancer is a major public health problem worldwide that kills millions of people globally with lung cancer among the commonest noncommunicable diseases in Bangladesh, causing 6% of all deaths It can present with a wide ...
Design and develop futuristic telemedicine using artificial intelligence

Pranto, Mafuj Ahammad; Surov, Homaira Tousif (Daffodil International University, 2024-07-14)

In our country the medical sector has made impressive improvements, although the medical sector is faced with many intractable challenges, one of the most serious issues is we do not get a proper medical service when we ...

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