Internship Report: Recent submissions

  • Shopper Buying Intention In Social Networking Using Machine Learning 
    Arafat, Md Yeasin; Raihan, Md Opu; hasann, Al Rafi (Department of Computer Science & Engineering (CSE) , BUBT, 2023-09)
    This study focuses on predicting online shopper buying intentions through the application of prominent machine learning algorithms. The algorithms considered for analysis include Support Vector Machine (SVM), Random ...
  • Online Food Ordering System 
    Ahmed, Robin; Tarek, Al Shahria (Department of Computer Science & Engineering (CSE) , BUBT, 2023-09)
    The Online Food Ordering System (OFOS) is a digital platform designed to streamline the process of ordering and delivering food through the internet. Online Food Ordering System offers a user-friendly interface accessible ...
  • Banana Variety Classification Using Transfer Learning: Leveraging Pre-trained Models for Accurate Identification 
    Hossain, Md. Anwar; Sheikh, Ripon; Hossain, Moazzem (Department of Computer Science & Engineering (CSE) , BUBT, 2023-09)
    In recent times, there have been different varieties of bananas in our country, which we cannot understand when we see them easily. When we go to a shop or market, we cannot tell which type of banana it is, which is a ...
  • Interview With Me 
    Dev Nath, Niloy; Ahmmed, Shakil; Tania, Nasima Akter (Department of Computer Science & Engineering (CSE) , BUBT, 2023-09)
    In an ever-evolving digital age, education is undergoing a profound transformation. This project explores the integration of digital learning platforms to revolutionize the educational landscape. The aim is to improve ...
  • Deep Learning-Based Product Recommendation System 
    Bayezid, Musanna Abdullah; Islam, Asiqul; Sathi, Ambiya Khatun; Khalil, MD. Ibrahim (Department of Computer Science & Engineering (CSE) , BUBT, 2023-09)
    Recommendations based on visual resemblance play a significant role in e- commerce platforms since they assist customers in selecting the desired items more quickly. Despite its huge potential, the number of recommenda ...
  • DualNet - A Novel Deep Learning Ensemble Approach for Tomato Leaf Disease Classification 
    Talukder, Md. Hasib; Rafiq, Rahnuma Binte; Hasan, Md. Nahid (Department of Computer Science & Engineering (CSE) , BUBT, 2023-10-02)
    Tomato cultivation is a vital component of global agriculture, and the health of tomato plants is susceptible to various leaf diseases that can significantly impact yield and quality. In this study, we propose an innovative ...
  • Online News Portal System 
    Bharati, Rup Kumar; Mehbuba, Arifa; Akter, Nahida (Department of Computer Science & Engineering (CSE) , BUBT, 2023-09)
    The Online News Portal Project is a dynamic web-based platform designed to provide users with easy access to the latest news and information from various sources. In today's fast-paced digital age, staying informed is ...
  • DENTAL CROWN MANUFACTURER 
    Rashedin, Rownak; Sayem, Abu; Juel, Rasheduzzaman (Department of Computer Science & Engineering (CSE) , BUBT, 2023-08)
    The Dental Crown Manufacturer Website Project Report presents a comprehensive analysis of the design, development, and launch of a website for a dental crown manufacturer. This project aimed to create a user-friendly and ...
  • “Road Safety: Deep Learning-Based Driver's Eye Drowsiness Detection for Accident Prevention” 
    Sujan, Tanvir Ibna Salam; Erin, Esrat Jahan; Shikdar, Md.Elias; Smriti, Zannatun Nayem; Rahman, Tanvir (Department of Computer Science & Engineering (CSE) , BUBT, 2023-09)
    The dangers of distracted driving to the safety of the road are grave. In this study, a method for real-time face and eye identification of drivers is proposed. It combines machine learning with a convolutional neural ...
  • A Project Report On easy finding jobs (e-Jobs) 
    Hasan, Muhammad Mahedi; Islam, Md. Tarikul; Meherunnesa (Department of Computer Science & Engineering (CSE) , BUBT, 2023-09)
    Our website seeks to maximize the benefits of the Internet. We believe that our service will assist job seekers in better managing their careers. This website will also assist employers in resolving many of the issues ...
  • E-Shopping System 
    Haque, Most. Tania; Mogal, Tayeba; Ali, Md. (Department of Computer Science & Engineering (CSE) , BUBT, 2023-07)
    As technology advances, traditional brick-and-mortar retail stores are rapidly being replaced by e-commerce platforms. In this context, we are developing an easy, fast, and user-friendly e- shopping platform. Even though ...
  • Job Recommendation System 
    Salman, Golam Rabbani; Neela, Jannatul Kobra; Habib, Kazi Sakib Bin; Fahim, Sanjedur Rahman (Department of Computer Science & Engineering (CSE) , BUBT, 2023-09)
    In the realm of Job Recommendation Systems, the integration of sophisticated algorithms has revolutionized the process of connecting job seekers with ideal employment opportunities. This study delves into the design and ...
  • An Automated Image Description in Bengali using Natural Language Processing (NLP) and Machine Learning Algorithms 
    Sraboni, Mirza Jannatul Afrin; Trina, Anika Tabassum; Borno, Ahmed Azmi; Islam, Shoumik; Tuhin, Al Shahariar Kabir (Department of Computer Science & Engineering (CSE) , BUBT, 2023-09)
    Recent developments in several areas, including computer vision and language produc- tion, have been made possible by the combination of Natural Language Processing (NLP) and Machine Learning (ML) methods. In order to ...
  • CITY BUS MANAGEMENT SYSTEM 
    Rahman, MD: Mesbah Ur; Roy, Chayan; Hassan, MD: Mehede (Department of Computer Science & Engineering (CSE) , BUBT, 2023-08)
    The "City Bus Management System" is a comprehensive software solution designed to modernize and streamline the management and operation of city bus transportation services. This project aims to provide an efficient and ...
  • Federated Learning for Multi-Center Imaging Diagnostics: A Simulation Study in Brain Tumor 
    Hassan, Mahmudul; Jahan, Bushrat; Juhi, Kanij Fatema; Shimu, Shamima Akter; Shad, Sharfuddin Ahmad (Department of Computer Science & Engineering (CSE) , BUBT, 2023-08)
    Detecting brain tumors using medical images has improved a lot, but sharing data between different hospitals for research is not easy because of privacy concerns. Federated learning is a new way to solve this problem. In ...
  • Online Shopping System 
    Sarder, Md. Rayhan; Islam, Kazi Atiqul; Sarker, Palash Chandra (Department of Computer Science & Engineering (CSE) , BUBT, 2023-08)
    Ecommerce is an option to buying and selling products via internet. There are so many people who go to market and buy their needy products physically and after that they back home by their own or public transport. But the ...
  • IOT BASED SMART HOME AUTOMATION SYSTEM USING ARDUINO 
    Hossen, Md. Shahriyar; Prodhan, Md. Sagor; Hossain, Md. Monir (Department of Computer Science & Engineering (CSE) , BUBT, 2023-08)
    The main goal of this project is to create a home automation system utilizing an Arduino board with Bluetooth that can be operated remotely by any smartphone running the Android operating system. Houses are becoming smarter ...
  • Human Heart Failure Prediction Using Machine Learning Algorithm 
    Chowdhury, Lopa; Khatun, Tamanna; Akter, Usha; Khatun, Tammy; Emon, Enamul Hossain (Department of CSE, BUBT, 2023-07)
    The heart is an important organ that controls blood flow in the body. Heart failure is not a disease, but a clinical condition. The body’s circulatory needs cannot be met by the heart as a result of it because it affects ...
  • Facial emotion recognition using deep learning based approach 
    Oishy, Amena Alam; Falguni Khan, Falguni; Ava, Fahria Israt; Sultana, Syeda Nafia (Department of CSE, BUBT, 2023-08)
    Facial emotion recognition is a crucial task in the realm of computer vision and artificial intelligence, facilitating applications such as human-computer interaction, emotion-aware computing, and sentiment analysis. In ...
  • Brain Tumor Detection using Convolutional Neural Network (CNN) 
    Rahman, Md. Ashiqur; Saif Un-Nur, Mostafa; Nawaus, Tanvir; Ahamed, Faiz; Rahman, Sakibur (Department of CSE, BUBT, 2023-08)
    Begin with image processing for technology to detect brain tumors. I.e. (The identification of tumor/cancer cells from brain images is primarily based on image recognition methods, since these images are complex and human ...

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