• Snake Gourd Leaf Disease Detection Using Deep Learning 

  Nishat, Md Rifat Uddin; Setu, Sadia Afrin (Daffodil International University, 2025-01-12)

  This study explores a novel approach to identifying diseases in snake gourd leaves using advanced deep-learning techniques. The research focuses on five specific leaf conditions: Healthy, Powdery Mildew, Downy Mildew, ...
• A Deep Learning Framework for Precision Plant Nutrient Status on Different Crops 

  Das, Aprantar; Mia, Md Hasan (Daffodil International University, 2025-01-12)

  Plant nutrient deficiencies can significantly impact agricultural productivity and crop quality, posing challenges for farmers in identifying and addressing these issues early. This project focuses on deep learning ...
• Blood Cancer Diagnosis using Deep Learning: Enhancing Accuracy in Leukemia Detection 

  Sultana, Sabbira (Daffodil International University, 2025-01-13)

  Blood problems are frequently discovered by visual inspection under a microscope. It might help classify a number of blood-related disorders in order to facilitate the identification of different leukemia conditions. ...
• An Innovative Smart Parking system 

  Faysal, Md Minhajul Abedin (Daffodil International University, 2025-01-13)

  Complete details of my concept, "An Innovative Smart Parking system," may be obtained in the accompanying results. This paper goes into great detail on the processes that helped transform the plan into a working website. ...
• Automated Histopathologic Oral Cancer Detection using Deep Learning for Early Diagnosis 

  Hasan, Abid; Karmakar, Ashis Kumar (Daffodil International University, 2025-01-12)

  An Innovative way to solve the very important problem in the world of early diagnosis is to use deep learning to automate the histopathologic discovery of oral cancer. The death rate goes up a lot when oral cancer is ...
• RNN-Based Weather Forecast Prediction: A Modern Approach 

  Rahman, Mahmudur (Daffodil International University, 2025-01-13)

  Accurate weather forecasting is vital for resource planning, disaster management, and informed decision-making. This study leverages deep learning techniques, including Long Short-Term Memory (LSTM), Gated Recurrent Units ...
• Deep Learning Approaches For Analyzing Microscopic Peripheral Blood Cell Images. 

  Rahik, Rafikul Ahsan; Kulsum, Umme (Daffodil International University, 2025-01-12)

  The diagnosis of numerous hematological disorders depends on the precise and effective classification of peripheral blood cells. However, in high-throughput or resource-constrained contexts, the manual evaluation of ...
• Enhancing Cervical Cancer Prediction with Machine Learning and Explainable AI 

  Ahmed, Md. Shawn (Daffodil International University, 2025-01-12)

  Cervical cancer, the fourth most prevalent cancer among women globally, poses significant health challenges, especially in low- and middle-income countries where diagnostic resources are scarce. Early detection is crucial ...
• Transfer Learning Based Detection and Classification of Diseases in Groundnut Leaves 

  Sarker, Raj Rabbi (Daffodil International University, 2025-01-13)

  One of the most important economic activities in the global agricultural sector, groundnut production is threatened by diseases involving leaves including; Leaf Spot, Alternaria Leaf Spot, Rust, and Rosette. Old approaches ...
• Recognizing Emotion from Speech using Machine learning and Deep learning 

  Roy, Tonny (Daffodil International University, 2025-01-13)

  In the analysis of psychological disorders, behavioral decision making, human machine interaction application speech recognition is plays a essential role. Speech emotion recognition is a system that detects emotions ...
• Sentiment and Toxicity: Hate Speech Detection with Machine Learning and NLP 

  Iqbal, Md Tanvir (Daffodil International University, 2025-01-12)

  This report presents a machine learning and natural language processing (NLP)-based system for detecting and moderating hate speech and toxicity on online platforms. With the exponential growth of user-generated content, ...
• Diu Library Management Mobile App 

  Kumar, Heronmoy (Daffodil International University, 2025-01-12)

  The report depicts the design of the DIU Library Management App, which is an Android based automated Software programmed in Flutter to facilitate and improve library functions for students of DIU. The application employs ...
• Advancing Smart Farming through Research-Based Web Application Integration: An efficient deep learning approach for classifying disease of been leaf Disease Identification in Sustainable Agriculture 

  Akter, Mst. Tabasshin (Daffodil International University, 2025-01-12)

  Deep Learning (DL) has emerged as a powerful technology in modern agriculture, revolutionizing practices like precision farming and disease management. Traditional methods for detecting diseases in bean leaves are ...
• An Application for Daily Expenditure 

  Islam, Md. Wasiul (Daffodil International University, 2025-01-12)

  Daily Expenditure is an innovative app designed to streamline daily expense tracking. With a tap-based interface, it eliminates the need for a keyboard, making expense management faster and more intuitive. The app ...
• A Web-based Solution for Streamlining Doctor Appointments and Healthcare Access: Public Healthcare System 

  Rashid, Md. Harunur (2025-01-12)

  Traditional healthcare systems often frustrate patients with long waiting times, inefficient scheduling, and outdated appointment and payment methods. These problems show that a simplified solution is required. The "Public ...
• Identifying hate speech in Banglish Language 

  Siddika, Ayesha; Akter, Sumaiya (Daffodil International University, 2025-01-12)

  Social media's growth has facilitated the quick spread of both positive and negative content, and hate speech is one of the most harmful forms of online expression. The goal of this study is to detect hate speech in Banglish, ...
• An Online Music Platform 'Anadi' 

  Paul, Dipra (Daffodil International University, 2025-01-13)

  ANADI is an innovative online music streaming platform dedicated to supporting independent Bangla music artists and fostering a global appreciation for Bangla music. The project addresses the challenges faced by lesser-known ...
• Design And Implementation of E-Commerce Based Website: TechEasy 

  Rahman, Abiuz (Daffodil International University, 2025-01-13)

  TechEasy is more general in its focus and upgraded for selling courses and software products as well as advertising and testing new products. Thus its clients range from students who need convenient possibilities in internet ...
• Market Master Multivendor Ecommerce Web Based Application for Sell-Buy Products 

  Hossain, Zumon (Daffodil International University, 2025-01-13)

  Market Master is a comprehensive multi-vendor e-commerce platform designed to facilitate seamless buying and selling processes for vendors and administrators. This system provides an efficient and user-friendly experience, ...
• Detecting Crop-Harming Insects using AI Transfer Learning 

  Islam, Md. Hassibul (Daffodil International University, 2024-12-14)

  Bangladesh is a six-season country and is also called a riverine country. New things are seen every six seasons, such as different types of flowers, fruits, pithapuli, festivals, seasonal animals, insects, etc. Seasonal ...

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