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Project Report: Recent submissions

Now showing items 61-80 of 3547

Trip-Trove: An AI Enhanced Travel Discovery Platform

Amin, Md. Al (Daffodil International University, 2025-09-17)

Trip-Trove is a sophisticated, fun, and instrumental online travel platform for travel enthusiasts and everyone else. Here, users of this platform can easily access a range of facilities suitable for their travel needs. ...
Deep Learning-Based Analysis of Neem Leaf and Tree Age for Optimal Utilization

Bhuiyan, Md Bayejid (Daffodil International University, 2025-09-17)

A custom dataset of Neem leaves and trees was collected and categorized into multiple age and health classes, forming the basis for developing an automated deep learningbased classification framework. Since Neem is a tree ...
Early ASD Screening from Eye-Tracking Data: A Comparative Study of Classical and Deep Learning Models

Mahabub-Ul-Alam (Daffodil International University, 2025-09-17)

Autism Spectrum Disorder (ASD) is a neurodevelopmental disorder that affects one throughout life. Early treatment response is strengthened by timely diagnosis of Autism Spectrum Disorder (ASD) although the current screening ...
Comparative Analysis of Large Language Models for Bangla Abstractive Text Summarization

Afsar, Md. Farhan; Durjoy, Naimur Rahman (Daffodil International University, 2025-09-16)

Abstractive text summarization is a critical challenge in natural language processing (NLP), especially for low-resource languages like Bangla, where data scarcity and weak multilingual adaptation limit progress. This ...
Fever Classification Using MachineLearning

Rima, Akter; Mim, Nurjahan (Daffodil International University, 2025-09-16)

Fever is a common clinical sign in the field of medicine, ranging frommild viral illnesstolife-threatening diseases like pneumonia, dengue, typhoid etc. Exact identificationofpathogenic cause is essential for the immediate ...
MRI-Based Multi-Class Classification of Rare Brain Disorders Using Deep Learning

Siam, Akibul Islam; Akram, Zafar Muhammed (Daffodil International University, 2024-09-16)

Rare brain disorder poses a big problem to diagnostics as it is not prevalent in the population, has confusing symptoms, and is not well-known in clinical practice. The classical forms of diagnostics do not support timely ...
Comparative Analysis of Deep Learning Models for Facial Emotion Recognitio

Ahmed, Foyez (Daffodil International University, 2025-09-16)

Facial Expression Recognition (FER) plays a vital role in enabling emotionaware computing, with applications spanning healthcare, driver monitoring, human–computer interaction, online education, and entertainment. ...
Machine Learning Approach to Predict Dengue Fever in Bangladesh

Siam, Morsalin Sarker; Islam, Md. Rashedul (Daffodil International University, 2025-09-16)

Fever and has been reporting outbreaks of the disease, it still continues to remain an important public health concern of the new millennium with significant morbidity strains on the healthcare system. It is important for ...
Blood Bridge - Bridging the Gap Between Donors and Recipients

Ahmed, Shafin; Hasan, Arman (Daffodil International University, 2025-09-16)

Blood Bridge is a web application designed to offer a possible solution to the important problems related to urgent blood searching and donation coordination. This project proposes, proximate blood donor search, through ...
A Comparative Analysis of Deep Learning Architectures for Protein Host Classification

Sara, Tasnim Akter; Tinthy, Oliza Umam (Daffodil International University, 2025-09-16)

Influenza A virus (IAV) is an ongoing global health threat because of its high mutation rate, antigenic variation, and interspecies transmissibility. Virus host range prediction is thus essential for the early surveillance ...
Deep Learning Based Analysis and Classification of Wheat Diseases Using Convolutional Neural Networks

Rahman, Md. Istiak (Daffodil International University, 2025-09-17)

Wheat is a vital staple crop worldwide, yet its yield is frequently reduced by leaf diseases that threaten food security. Traditional diagnosis through expert inspection is costly, time-consuming, and often inaccessible ...
TrackMate: Real-Time Public Transport Locator

Islam, Md. Jahirul; Mazed, Md. Abdullah Al (Daffodil International University, 2025-09-16)

Even individuals that stop at transit points have significant difficulties in transportation coordination. The reason behind this is that they are not aware of any time of arrival of vehicles and thereby end up spending a ...
A Privacy-Preserving Federated Learning Approach for Primary Colorectal Malignancy Detection, Tumor Multiplicity Estimation and Regional Occurrence Mapping

Jaber, Md. Abdullah Al; Sarker, Md. Rahat Zaman (Daffodil International University, 2025-09-16)

It is among the top causes of deaths in the world-Colorectal cancer. As soon as we detect it, we will survive. However, there are a lot of barriers in the medical field around looking at real patient test data. To address ...
Ensemble EfficientNet-B7 for High-Accuracy Multi-Class Chest X-Ray Classification with Grad-CAM and Uncertainty-Aware Interpretability

Hasan, Md Tahmid; Ahad, Abdul (Daffodil International University, 2025-09-16)

Getting chest X-ray images classified quickly and accurately is vital for spotting COVID-19, viral pneumonia, and lung opacity, especially in places where medical resources are tight. In this study, we put together a ...
A Machine Learning Approach to Understanding Migration Decisions and Psychological Stress Among Youth

Biswas, Sajib (Daffodil International University, 2025-09-16)

In this paper, we considered migration induced predictions by machine learning algorithms. In the determinants of migration, which are age, occupation, psychological pressure and social media effect, the costs are known. ...
Graph Based ECG Classification: A Continual Learning Framework for Evolving Cardiac Diagnosis

Siam, Al Shahariar; Sukhi, Jesmin Akter (Daffodil International University, 2025-09-09)

Recognition of ECGs is essential to early detection and tracking of heart conditions. Standard machine learning algorithms are not well suited to adapting to new data distributions and they do not generalize well to the ...
BarishaillaBarta: A Neural Comparative Study on Translating Barishal Dialect into Standard Bangla

Akter, Md. Shahin; Biplob, Asif Karim (Daffodil International University, 2025-09-17)

This study develops and assesses neural methods for automatic transformation of sentences from the Barishal dialect to Standard Bangla. We create a parallel Barishal–Standard Bangla resource, perform uniform preprocessing ...
U-NetSkinLesionNet++: A Hybrid Custom CNN– ViT Model with CycleGAN-Augmented K-means Segmented Data for Enhanced Skin Cancer Detection and Classification

Tonni, Fahmida Ahmed; Labonno, Sayda Afrin (Daffodil International University, 2025-05-14)

As skin cancer remains the most frequent type of cancer worldwide, patient outcomes need accurate diagnostic techniques. In the following paper, an in-depth comparison of advanced segmentations with trusted deep learning ...
Dragon fruits quality grading system using machine learning approach

Rakib, Md. (Daffodil International University, 2025-09-14)

Dragon fruit production has gained popularity in Bangladesh's agricultural sector in recent years because of its high economic worth and health advantages. Dragon fruit quality grading is still done by hand, which is ...
A system for enhancing academic engagement

Ridita, Sanzida Ahmed (Daffodil International University, 2025-09-14)

The project “Uni-verse Buddy” is designed to revolutionize the traditional learning experience by addressing the limitations of conventional educational environments. Recognizing the challenges faced by students, such as ...

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