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Item Analyzing Factors Affecting Female Student’s Success in Computer Science and Engineering(Daffodil International University, 2025-09-16) Elma, Esrat JahanWomen have made phenomenal accomplishments in Computer Science and Engineering (CSE), and their interests have brought much-needed benchmarks to eradicate both gender differences and priorities in diversity in education and STEM fields around the tech sector they might be interested in. But all academic, social, and whatever might be the power of a potential woman is so small. Cultural obstacles in this area, costing families, societies and even governments in conditions of creative and economic development in a dynamic world. The present research efforts to determine and examine the psychosocial, contextual, and early educational influences which encourage the academic achievement of female CSE students. It considers the support of the parents, such, learning environment, cultural perceptions, self-discipline, self-confidence and so on. motivational variables that form part of improved academic performance. The research attempts to determine the accretion of these factors in the measure of the achievements or efforts encountered. by women. Data were collected on this using mixed methods. Primary data came from designed survey used on purpose on CSE students (women) of the Bangladeshi University, that provided a productive qualitative and quantitative experience information. Machine learning systems. Voting Classifier, Gradient Boosting, Random Forest, Stacking, were used to make analysis. XGBoost, Classifier, Logistic Regression, and SVC. Their work was assessed in terms of not only predicting the academic performance of the female students but also analyzing which factors. affected in no small measure on that success or failure. Give way to Motivation, self-discipline, a supportive One of the best predictors was the learning environment, and positive family reinforcement. of an academic success. Indeed, the aspects that seemed most related to poor performance in students were low self-esteem, poor command of English, and the pressure of part-time jobs, among others, always, gender stereotype. Among machine learning models used, Gradient Boosting emerged with the. Random Forest and Logistic Regression models having the highest prediction accuracy at 85%. On the other hand, the forecasting ability of Gradient Boosting and XGBoost here was low. This research, with the use of machine learning and a deep socio-cultural insight, lays a firm foundation. groundwork towards addressing the gender gap in STEM learning. Elicit responses that will increase teachers, schools, and policymaker’s awareness in different fields to special actions that would permit increasing early retention to such a level that gender equity and academic resilience of female students eventually achieve. Holistically, the research advocates for the nourishment of human-centered approaches with advanced technologies to ensure meaningful gains for female CSE students in realizing their full potential as they contribute towards the future of technology and innovation.Item Facial Sentiment Recognition using Convolutional Newral Network(Daffodil International University, 2019-09-12) Ahmmed, Md. Nasiruddin; Islam, Md. ShorifulIn this paper, we apprise seven feelings and poor and nice emotion consciousness manners using facial pictures and the improvement of software program-based totally on the method. In previous researches, there are emotion-based facial expressions to recognized thoughts by used the deep-learning technology. There is current software that posted six emotions, but we apprehend seven emotions and terrible and positives in graphs and percentages. Thus, we identified seven emotions such as Happy, Angry, Fear, Disgust, Sad, Neutral and shock and additionally calculate emotion-recognition ratings into positive, poor and impartial emotions. Then we carried out a software program that presents the person with seven emotions scored and superb and negative emotions. Emotion is a key aspect of men and women's life. However, it is hard to recognize emotions by only using pictorial format or only from the audio format. Individually photo or audio won't give the most accurate emotion. If we blended them then we can get the most accurate emotion. So in this paper, we are going to introduce a notion to blended photo and audio and fetch emotion from them. The picture and audio will be fetched from a video. Also, laptop mastering techniques are used for emotion consciousness from audio and pix and both outputs are mixed to observe the emotion.Item Medicine Shop(Daffodil International University, 2019-05) Shahjalal, Md.Medicine Shop is a stage for the all level clients, This project is used mainly for pharmacy stores to maintain the details of the pharmacy store such as medicine stock.Everyday we face many problem for find our medicine and we run one pharmacy to another pharmacy.Medicine shop project helps people find medicine easily.If any one need any types of medicine he or she visit my Medicine Shop web application and easily find his or her medicine.There are many types of medicine available in my medicine shop project like Ayurvedic medicine, Antibiotic medicine,Syrup,Drops,Tablet etc.We serve our customer 24 hours. Customer can search medicine and easily find his/her medicine if available in stock.All the stock of medicine is update daily by admin.My medicine shop web application is user friendly.User can view details of the medicines withouth going anywhere.Item IoT Based Automatic Gas Leakage Protection(Daffodil International University, 2019-05) Rabby, Md. AnamurLiquefied petroleum gas (LPG) is the basic one for all cooking applications. The majority of us are inclined to much trouble when the gas chamber gets purged amid the pinnacle cooking hours. We present this project so as to make mindfulness about the diminishing load because of utilization of the gas and to consequently dial to the gas booking office. Ceaseless estimation of the weight is impossible utilizing electronic weight measures, since it causes weakness in the springs. Consequently, we move to contact less recognition including acoustic wave. In this system, the inbuilt temperature sensor in LM35 is utilized to gauge the dimension of the gas inside the cylinder. The goal of this paper is to build up a framework that can identify the spillage of Liquefied Petroleum Gas in the region where it is put into administration and makes important move to keep away from disasters. The proposed framework is tried and the outcomes are checked by delivering an early cautioning sign under the less serious condition and initiate a sharp alert amid the spillage of LPG and consequently closed down the gas pipeline amid the spillage of gas to give a project to the clients.Item Online IELTS Test Exam Practice - Online IELTS Exam(Daffodil International University, 2019-04) Rahman, Md. MahmudurOnline examination project could be a web portal which is developed or implemented in PHP domain or platform. IELTS interested student can practice. This project will help students to get practiced to online examination method by taking mock tests from this web portal. This website must have some main section. Such as activities, notes, videos /audios. In Activities section student can practice some model question of previous IELTS exam. After finishing any model question, they can see his/her score and the correct answer. In video/audio section contains some file that are related with the model question. So that, it can be easy to solve the model question. Our next section is Note. Speech of video/audio section will be documented here.To develop this project, the various tools are used. Such as-MySQL Database,HTML5 ,CSS3, Bootstrap, JQuery ,Java Script. In this project, I have used PHP Strom as an editor.Item RFID Based Monitoring System Using Web Application(Daffodil International University, 2019-03-03) Amit, Sobayer Abedin; PK, Pitash Kumar; Uddin, Md. ShamsRFID Based Student Monitoring System Using Web Application‖ is an Embedded based project with the support of web application. The existing conventional attendance system required a manual paper-based process when a student attends a class. As common as it seems, such system lacks of automation, where a number of the problem may arise. Developing a system which has the ability to capture student’s attendance automatically by flashing their student ID card at the RFID Reader can really save a huge hassle. In the meantime, while a student flashes his/her student ID card at RFID reader then an SMS (Short Message Service) will be sent to their respected guardian about their children attendance. Looking at a bigger picture, developing the system throughout the academic teachers will benefit the academic management as we know that the student attendance to a class is one of the maiden factors in improving the quality of teaching and monitoring their student’s performance. Besides respected guardian will be updated about their children’s attendance and another performance.Item BD KISAN: An Android Based Mobile Application(Daffodil International University, 2019-05) Shaon, Nadim HossainWith the development of time and information technology, it has become more easy to use mobile apps for our daily works. The technology becomes more advanced to our agriculture also. This project “BD Kisan” an Android based mobile application is developed for the great support for our farmer those who are new at farming. They will have proper guideline to solve the critical problem. User can know the cultivation process for the desired crops. They can fight from the crops disease that hamper the crops. The application has a use friendly user interface. This application is in Bengali Language. So those who can read Bengali, it is easy to understand. The project is developed with the help of Android Studio and Firebase has been used as the core database for the application. With this application, I hope the people will be much benefitted. They don’t have to use traditional way to cultivate or panic for the crops disease.Item An Analysis of Parkinson Disease Prediction Using Machine Learning Approaches(Daffodil International University, 2019-05-11) Biplab, Ekramul Kabir; Trishna, Surovi AkterObjective: The main goal of the study isto inspect the performance of three Supervised algorithms for improving the Parkinson disease diagnosis by detection. Methods: We used three machine learning techniques for the detection of Parkinson disease datasets. SVM, KNN, and LR were used for prediction of Parkinson Disease. The performance of the classifiers was evaluated via recall, precision, f 1 measure and accuracy. Results: SVM shows the accuracy level 100% for Parkinson disease prediction. LR achieved the second highest classification accuracy of 97%. Moreover, in the terms of accuracy for analyzing Parkinson disease datasets, KNN achieved the worst performance (i.e. 60%). Conclusion: Our finding showed that the SVM obtained the highest performance for analyzing the Parkinson datasets. This study has emphasized the current Parkinson research trends and scope in relation to clinical research fields by machine learning techniques. That will be an effective impact in the field of Parkinson diseaItem Research Network Platform Cyber Security Center, DIU(Daffodil International University, 2019-05-06) Ahamed, Sazal; Hasan, Md KamrulResearch Network Platform for cyber security center is a web based application. This system allows the researcher to gain higher knowledge by connection with supervisor. In this system is more helpful for any research institute, might be any particular research group. Here actually supervisor is able to be post about research topic and researcher can chose any topic if he has enough knowledge about that particular area. Here is more important that Supervisor is able to track in live what is doing researcher. Mainly this system is more important for both Researcher and Supervisor. As researcher can easily find his area at the same way supervisor can pick qualified researcher what for searching. Here admin can monitor all system what has in my system. By using this system researcher are able to increase their scientific knowledge.Item Towards IoT Sensor Service, IoT Actuator Service and Web Service modules for a middleware supporting end-user driven collaborative service composition(Daffodil International University, 2018-10-28) Uddin, Md. Raihan; Kamal, AzihaModern software systems are increasingly characterized by uncertainties in the running context and user needs. These uncertainties and needs are difficult and challenging to predict at design time. While existing end-user driven service composition tools provide support for building composite IOT based services in order to meet user needs at run time, an environment that will enable end-users to create a collaboration of both web services and IOT based services in order to meet users requirement at while is yet to exist to the best of our knowledge. We therefore propose a novel architecture to address this gap. More specifically our contribution lies in designing and implementing a pluggable IOT based sensor and actuator environment that can be used to support composition of end-user driven collaboration of both IOT based services and other web services. We have also provided the validation of our designed architecture using a proof of concept scenario.