• What a pregnant lady should eat: a machine learning empowered web-based application to detect food 

  Bishal, Sabria Alam (Daffodil International University, 2024-01-25)

  It's critical for the growth of the fetus as well as the health of the mother to get enough nutrients throughout pregnancy. Women need special attention throughout pregnancy. Maintaining a balanced diet and sufficient ...
• Arabic Alphabet and Surah Pronunciation Corrections Using Deep Learning 

  nahar, Faijun (DAFFODIL INTERNATIONAL UNIVERSITY, 2024-07-14)

  The development of automatic speech recognition systems for Arabic presents unique challenges, particularly due to the complexities of Classical Arabic, which has been underrepresented in research. Proper pronunciation of ...
• IOT Based Child Safety Monitoring System from Water and Fire 

  Gosh, Sagar (DAFFODIL INTERNATIONAL UNIVERSITY, 2024-07-14)

  The Internet of Things (IOT) promotes technology that can be used for such inventions the article analyzes the conceivable of IOT for various applications, including child safety, water level monitoring, and fire alarms. ...
• Use of Machine Learning to Predict and Analyze the Climatic Trends: A Data-Driven Approach 

  Puja, Shenjuti Paul (DAFFODIL INTERNATIONAL UNIVERSITY, 2024-07-14)

  Climate change is an alarming problem in the world, in recent years the extreme heat wave has been quite noticeable. For the last couple of years a temperate country like Bangladesh, is suffering from extreme heat waves. ...
• Eye Disease Recognition Using Deep Learning 

  Hossain, Md. Rakibul (DAFFODIL INTERNATIONAL UNIVERSITY, 2024-07-15)

  Eye disorders pose a significant global health challenge, often causing permanent vision loss if not detected and treated promptly. Recent advancements in medical image analysis, particularly through deep learning techniques ...
• Depression Detection From Social Media Activity Using Machine Learning 

  Brishti, Bipasha Babul (DAFFODIL INTERNATIONAL UNIVERSITY, 2024-07-13)

  In my research project titled "Depression detection from social media activity using machine learning," I investigate the effectiveness of various machine learning algorithms in identifying depressive symptoms from social ...
• Skin Cancer Detection Using Machine Learning 

  Mojumder, Purnata (DAFFODIL INTERNATIONAL UNIVERSITY, 2024-07-18)

  Skin cancer, a significant global health concern, demands innovative approaches for early detection to improve patient outcomes. This research endeavors to contribute to this imperative by developing an advanced skin cancer ...
• Feature Engineering for Students Academic Performance and Reignition using Machine Learning and Deep Learning 

  Ahammad, Md. Saymon; Sinthia, Sadia Akter (Daffodil International University, 2024-07-24)

  The research titled “Feature Engineering for Students Academic Performance and Reignition Using Machine Learning and Deep Learning” highlights the transformative potential of modern computational methods in strengthening ...
• Skin diseases detection using deep learning techniques with web application 

  Zaman, Fariha (Daffodil International University, 2024-07-24)

  A widely recognized paradigm exists for imaging purposes in the identification of skin disorders. In recent years, many medical professionals, including physicians, use CAD to assist them more accurately detect a range ...
• Regional accent classification in Bangladesh: 

  Salman; Afridi, Shahed (Daffodil International University, 2024-07-01)

  Research on the recognition of regional accents in spoken language helps preserve regional dialects and increases the accessibility of technology to speakers of such languages. We provide our work on spoken data ...
• Stress and Anxiety early Detection with Machine Learning Approach using Survey Data 

  Ghosh, Bandhan (Daffodil International University, 2024-07-24)

  Stress and anxiety can have profound impacts on an individual's mental and physical well-being, making their early detection crucial for timely intervention and support. This study investigates the application of machine ...
• Deep learning-based skin disease detection 

  Hossain, Rahid (Daffodil International University, 2024-07-24)

  Skin diseases are more common than other disease in Bangladesh. Skin diseases may be caused by fungal infection, bacteria, hot weather, allergy, or viruses, etc. The thesis paper on skin disease detection focuses on the ...
• License plate detection using a deep transfer learning approach 

  Emon, Md Faisal Habib (Daffodil International University, 2024-07-24)

  License plate detection in Bangladesh poses unique challenges due to the diverse designs, fonts, and variations in plate structures. This study provides a comprehensive overview of recent advancements in License plate ...
• Predict Cardiovascular Disease Using Machine Learning Techniques 

  Jahan, Esrat (Daffodil International University, 2024-07-24)

  The declaration emphasizes the increasing prevalence of physical illnesses, especially cardiovascular disease, and the demand for efficient methods to forecast the illness and increase early detection. The utilization ...
• Efficient Power Grid Prediction System for Optimized Energy Management Using Machine Learning 

  Md. Shafin, Nasim; Chowdhury, Shishir (2024-07-24)

  Ensuring sustainable and efficient power distribution is a tough challenge for the energy sector, especially in emerging nations such as Bangladesh. "Efficient Power Grid Prediction System for Optimized Energy Management ...
• Hungry Haste: design and development of a web based application 

  Unknown author (Daffodil International University, 2024-07-24)

  The Food Sharing Platform is an innovative online tool created to promote a thriving culinary community where people can effortlessly share their beloved specialties. Food lovers and amateur cooks are continuously looking ...
• Computer vision based traffic monitoring system 

  Enamul Huq, Md; Mollah, Shihab (Daffodil International University, 2024-07-24)

  This research paper explores the application of OpenCV (Open-Source Computer Vision) technology in the field of traffic management. With the increasing number of vehicles on roads worldwide, efficient traffic management ...
• Intelligence for Deepfake Detection: An Experimental Measure to Combat Rising Cyber Threat 

  Islam, Md. Raisul; Rakib, Md. Aminul Islam (Daffodil International University, 2024-07-24)

  Deepfake detection technology primarily combines artificial intelligence and machine learning, including deep learning techniques such as Multi-layer Perceptrons (MLP), Convolutional Neural Networks (CNN), and EfficientNet ...
• Enhancing Cryptocurrency Price Prediction and Analysis through Deep Learning 

  Kundu, Amit Kumar (Daffodil International University, 2024-07-24)

  Predicting Bitcoin prices remains a complex challenge due to the cryptocurrency market's inherent volatility and rapid fluctuations. Based on historical price data gathered from Investing.com over the previous five years, ...
• Lychee Leaf Disease Detection Using Computer Vision and Deep CNN 

  Rafe, Mohammad (Daffodil International University, 2024-07-24)

  There has been a consistent increase in the demand for litchi in South Asia. Due to the fact that it is a fruit that is only available during specific times of the year, it is extremely attractive, particularly in ...

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