• TRAFFIC SIGN DETECTION UNDER ADVERSE CONDITIONS 

  Mohiuddin, Mohammad; Hasan, Mehedi (Comilla University, 2025-02-01)

  Automatic traffic sign detection and recognition play a crucial role in real-world applications such as autonomous driving systems and driver assistance technologies. This project aims to develop a system using deep learning ...
• SYMPTOM-BASED DISEASE PREDICTION AND PRECAUTION SYSTEM USING MACHINE LEARNING & DEEP LEARNING 

  Hasan , Md Fuad (Comilla University, 2025-02-01)

  The joining of machine learning and common dialect handling (NLP) has changed healthcare, empowering mechanized frameworks for foreseeing and diagnosing maladies. This consideration pointed to create an progressed system ...
• ROAD LANE LINE DETECTION USING U-NET ARCHITECTURE FOR SELF DRIVING CARS 

  Mouri, Ifrat Jahan; Hasan, Md Fuad (Comilla University, 2025-02-01)

  This project introduces a deep learning-based road lane line detection system using the U-Net architecture, aimed at enhancing autonomous driving and advanced driver assistance systems (ADAS). The model is trained on the ...
• Quantum Walk-Enhanced Hybrid Routing: Integrating Local and Non-Local Best-Effort Strategies for Robust Quantum Networks 

  Dhruba, Anjan Das; Hasan , Md. Mehedi (Comilla University, 2025-02-01)

  network nodes. Unlike classical networks, quantum networks require specialized routing strategie due to the no-cloning theorem, entanglement decay, and limited quantum memory. This paper investigates the performance of ...
• Quantum Network Security : 

  Muhaimin, Md. Sayem; Mia, Md Shahin (Comilla University, 2025-02-01)

  Quantum repeater networks are essential for long-distance quantum communication, utilizing entanglement to ensure ultra-secure information exchange. Unlike classical methods, quantum networks rely on qubits and ...
• PRECISION AGRICULTURE USING MACHINE LEARNING 

  Mia, Palash; Mamun, Md Al (Comilla University, 2025-02-01)

  Agriculture is a key sector in Bangladesh, providing employment and sustenance to a significant portion of the population. However, many farmers struggle with selecting the most suitable crops for their land and applying ...
• PATIENT CENTRIC MEDICAL RECORD MANAGEMENT USING BLOCKCHAIN 

  Islam, Md. Ashikul; Afrin, Mst Sungeda (Comilla University, 2025-02-01)

  This study is meant to serve as a reference for academics and engineering students who are very interested in blockchain, decentralized storage, and medical technology. In order to provide future contributors a thorough ...
• Model Based Image Classification Using Dimentionality Reduction 

  Mia, Rahim; Rakib, Saiful Islam (Comilla University, 2025-02-01)

  Image classification is a fundamental task in machine learning, with applications in medical imaging, remote sensing, and autonomous systems. However, the increasing complexity and high-dimensional nature of image datasets ...
• Medical Image Classification using Hybrid Quantum-Classical Neural Network 

  Jalal, Shah; Hossain , Md. Robin (2025-02-01)

  Medical image classification plays a crucial role in healthcare, enabling accurate disease diagnosis and treatment planning. Traditional deep learning models, such as Convolutional Neural Networks (CNNs), have demonstrated ...
• Final Research Report Submission on Improvement of Wastage Classification using Efficient Machine Learning and Deep Learning Algorithm Deployment and Hyperparameter Tuning 

  Abdullah, Eftekhar Nahim; Nazia, Jannatun Nawar (Comilla University, 2025-02-01)

  Increased population, faster urbanization, and industrialization are the main reasons for ecological contamination. The amount of waste products has increased to the point that they pose a threat to both human health and ...
• Human Gender and Age Detection Through Image Processing Technique 

  Islam, Md. Saiful; Mia, Md. Shahansha (Comilla University, 2025-02-01)

  Interest in automatically classifying people's age and gender from face photographs has grown since the introduction of social media. Thus, the age and gender categorization process is an essential step in many applications, ...
• Fruit Ripeness Detection Using Deep Learning 

  Roy , Suprama (Comilla University, 2025-02-01)

  The Fruit Ripeness Detection project aims to develop an automated solution for detecting the ripeness of fruits using deep learning techniques, specifically leveraging the VGG16 model. The project focuses on classifying ...
• ETHICAL AI: PRINCIPLES, CHALLENGES AND FUTURE DIRECTION 

  Riddy, Jannatun Fertheous; Jahan, Tanjila (Comilla University, 2025-02-01)

  AI is rapidly transforming various industries, but its ethical challenges, such as bias, transparency, accountability, and privacy, need careful consideration. While AI improves efficiency in healthcare, education, business, ...
• Diabetes Prediction using Machine Learning 

  Pal, Prokash; Tajrin, Nushera (Comilla University, 2025-02-01)

  Particularly in countries like Bangladesh, where delayed diagnosis and limited healthcare resources exacerbate its impact. Traditional diagnostic methods are often costly and time-consuming, leading to late-stage detection ...
• Social Media-Based Psychological Insights for Detecting Depression Using Comparative Analysis of Machine Learning Algorithm 

  Nowar, Sohana (Comilla University, 2025-02-01)

  People's communication methods are changing due to rapid advancements in technology. As the Internet has grown, social media platforms like Facebook, Instagram, Telegram, and Twitter have gained prominence as places for ...
• A Project Report on COMILLA UNIVERSITY HALL MANAGEMENT SYSTEM 

  Hasan, Md Mahedi; Rahman, Marfater (Comilla University, 2025-02-01)

  Comilla University Hall Management System is a software developed for managing colorful conditioning in the residence. There are five resident halls for the scholars of Comilla University. As the number of halls are adding ...
• Smart Vehicle Number Plate Detection System 

  Latif, Md. Abdul (Comilla University, 2025-02-01)

  The implementation of number plate recognition systems has significantly improved the city's traffic conditions. These systems provide guidance for creating an efficient intelligent transportation system. With the rapid ...
• Online Payment Fraud Detection Using Machine Learning 

  Alam, Md.Ashraful (Comilla University, 2025-02-01)

  Online payments have been appealing because of how easy it is to make a payment while seated anywhere in the world. Online payments have increased within the last few decades. E-payments allow both consumers and corporations ...
• BRAIN STROKE PREDICTION USING MACHINE LEARNING 

  Sarkar, Md. Mahmudur Rahman; Sarkar , Proma (Comilla University, 2025-02-01)

  The present document is a project carried out in the field of engineering to create a system for the prediction of brain stroke using machine learning. A major cause of death and disability worldwide, including in places ...
• Machine Learning-Based Predictive Modeling for Early Detection of Heart Disease 

  Akier, Kuhinoor (Comilla University, 2025-02-01)

  Machine learning has revolutionized various industries worldwide, including healthcare, by enabling predictive analytics for disease diagnosis and prognosis. One of its most promising applications is in the early detection ...

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