Project Report

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3 Dot solution:
(DAFFODIL INTERNATIONAL UNIVERSITY, 2024-01-19) Sourov, S A Farhan
3 Dot Solutions is a state-of-the-art e-business firm specializing in the selling of electronics items such as laptop hardware and other related gadgets. Listing out the features which benefit the users, for instance, the incorporate of the AI customer support truck that assists users in their inquiries by enabling an effective communication system which makes many users engage with the platform. Consumers and sellers have control spaces where they can purchase and list products; each person has his/her own portfolio. The warranty countdown stands as the cutting-edge element of the platform, it assists the buyer with keeping the tabs on the warranty terms of the received products and talk to the seller about the service or a replacement when the term is expiring. Furthermore, the platform integrates a ticket booking system that allows the users to raise problems/queries or report any technical hitch to be resolved. Utilizing modern technologies, 3Dot Solutions is developed with a frontend Micro-frontend architecture with the following technologies: Tailwind CSS, React, and Vite for a responsive and dynamic user interface. On the back end, Node.js handles the execution of the part of the application responsible for rapid operation and scalability. For data management, the platform works with MongoDB to store product categories for listed products, users’ data, and transactions By doing this, 3Dot Solutions strives to build a secure and efficient electronic accessory trading platform with richer value-added services than other similar platforms in the market.
3 Dot solution: Smart Support Management System
(Daffodil International University, 2025-02-19) Sourov, S A Farhan
3 Dot Solutions is a state-of-the-art e-business firm specializing in the selling of electronics items such for instance, the incorporate of the AI customer support truck that assists users in their inquiries by enabling an effective communication system which makes many users engage with the platform. Consumers and sellers have control spaces where they can purchase and list products; each person has his/her own portfolio. The warranty countdown stands as the cutting-edge element of the platform, it assists the buyer with keeping the tabs on the warranty terms of the received products and talk to the seller about the service or a replacement when the term is expiring. Furthermore, the platform integrates a ticket booking system that allows the users to raise problems/queries or report any technical hitch to be resolved. Utilizing modern technologies, 3Dot Solutions is developed with a front- end Micro-frontend architecture with the following technologies: Tailwind CSS, React, and Vite for a responsive and dynamic user interface. On the back end, Node.js handles the execution of the part of the application responsible for rapid operation and scalability. For data management, the platform works with MongoDB to store product categories for listed products, users’ data, and transactions By doing this, 3Dot Solutions strives to build a secure and efficient electronic accessory trading platform with richer value-added services than other similar platforms in the market.
A Conceptual Model of an Ideal EHR (Electronic Health Recorder) System in the Context of Bangladesh
(Daffodil International University, 23-02-18) Billa, Md. Mhutashim
In Bangladesh, a good amount of hospital settings still prescribe patient with pen and paper without the option for storing the information in a digitized format. Even though some private medical settings have taken the initiative to adopt e-health systems such as EMR (Electronic Medical Record), there still remains a gap in those solutions. Because in most cases the data is separated into different machines and it cannot be transferred outside of a particular hospital domain. Hence there is a need for adopting EHR (Electronic Health Record) system that can not only store medical information in a digital format but also be an interoperable system supporting various hospital settings. The main aim of the thesis is to articulate an EHR model in the context of Bangladesh. For implementing the proposed model guidance from various literature was gathered. And for further understanding, the working of some the existing systems has been taken into consideration. The model was created and showcased with appropriate diagrams. Appointment setting, Medical history, 24/7 prescription accessibility, and prescription sharing are few of the functionalities which will be supported by the model. The main drawback of this research is that my hypothetical model hasn't been used as an actual application. Therefore, it is not easy to forecast any uncomfortable circumstances that could occur during real-life implementation. The proposed HER system will be able to support configuration oversight of the existing system. This is clearly seen when doing a comparison examination between various systems. In addition, the software's future potential is quite promising given the emergence of more recent technologies like artificial intelligence (AI), Blockchain, and 5G connection.
A Deep Learning Approach to Predict Football Match Result
(DAFFODIL INTERNATIONAL UNIVERSITY, 2024-01-21) Halder, Sumon
Football is the most watched and most played sport in the world. The 21st century there were approximately 250 million football players and over 1.3 billion people interested in football. Predicting the outcome of football matches has always been a topic of great interest among sports enthusiasts, analysts, and betting enthusiasts. With the rise of deep learning techniques and the availability of vast amounts of data, there has been an increased interest in developing accurate predictive models for football match results. This thesis presents a comprehensive study on using deep learning algorithms to predict the outcome of football matches. The goal is to leverage the power of deep learning models to improve prediction accuracy and provide valuable insights into the factors that influence match outcomes.
A Deep Learning Approach to Predict Football Match Result
(Daffodil International University, 2025-01-19) Halder, Sumon Halder
Football is the most watched and most played sport in the world. The 21st century there were approximately 250 million football players and over 1.3 billion people interested in football. Predicting the outcome of football matches has always been a topic of great interest among sports enthusiasts, analysts, and betting enthusiasts. With the rise of deep learning techniques and the availability of vast amounts of data, there has been an increased interest in developing accurate predictive models for football match results. This thesis presents a comprehensive study on using deep learning algorithms to predict the outcome of football matches. The goal is to leverage the power of deep learning models to improve prediction accuracy and provide valuable insights into the factors that influence match outcomes.
A Web Platform to Promote Students to Add Their Project Idea to Represents Strengths and Skills in Various Technologies
(Daffodil International University, 2019-12-13) Islam, MD. Aminul
At present, People are becoming interested in passing more times with new technology and technological devices. But they have little time to know the people and their problems. Most of the university students in our country don’t get feedback to work with new technology like IoT, Block-chain, AI and Cyber Security. Most students failed to submit the final year project or third-year project. They will be face with problems in their project idea. The proposed systems more useful for the students who want to acquire knowledge about projects and they also try to make creative project ideas. In this system, any student can help from their teachers and their seniors to work with technology. If students face any problem working in technology then they can share their problem by add post into the system. Students can easily make connectivity among them through the messenger and also they can help during development time. Since this project is only for Daffodil International University so there are no business benefits like other business benefited systems. The main purpose of the “Daffodil Idea Portal” is to build the skills of students so that they can get the best job or start with the new business after completing their graduation. So this system helps them and encourages them to build their skills in the global village. As a result, Varsity gained more popularity through the student’s activities by the make new invention in the global world.
Academic Information Hub
(Daffodil International University, 2020-09-12) Mehmud, Md Sabbir
The project is practically based on the total packaged information about education sector. In our country people cannot find proper information anywhere to let their child get admitted to an affordable institution which will both be good for their child and easy cost handler for the parents. Nobody is able to find any detailed information about any institution unless the specific institution is giving their information personally. And we don’t know if the information is wrong or right as for business purpose everyone can talk loudly for better revenue, you know what I mean. However, this particular web application I’m working in, is going to have all specific information a guardian and student needs to decide which will be the best for him/her. So, now what exactly is in this web application. Information of every single schools, colleges, universities are included. For example, admission cost, tution fees, and all other stuffs which are needed. All the institution will have to give their information to get themselves known to people of Bangladesh. A very special discussion forum has built to discuss every aspects of educational topics of Bangladesh. All education board all times question and answer bank will be available in the web application rather than finding them into various places or books to practice for next board exam. Almost every kind of job application deadline and the information about it and the examination date can be found here. People for mock test or model test can give online exams by giving a very affordable cost for best preparation to a specific field. The answer sheet will be monitored by best teachers of specific sectors.
Agriculture Management System (AMS)
(Daffodil International University, 2022-02-13) Akash, Asif Mahmud
Users and farmers may get online information on crops, statistics, recent product pricing, warehouse management, immediate issue solutions, and new trends through the Agricultural Management System (AMS). The Agriculture Management System provides instant issue solutions, up-to-date product pricing, agricultural product warehouse management, and all the benefits of product purchase and sell. Crop trends function in such a way that consumers who access them will find them useful. Fertilizer, research institutions, and research, land availability, disease, soil density suited for associated crops, and statistical information about exports and warehousing are all key components of the Internet information system. Users may access data from anywhere in the form of statistical and PDF-format information retrieval, as well as quick issue solutions. Used to construct front edges as well as rear edges in PHP's Laravel Framework and SQL Server. A SQL Server is used to connect the front end with the back end. The Department of Agriculture can manage the agricultural information system. They'll be able to access it over the internet. Users will be assigned a login name and password in order to access the database. Agriculture Management System (AMS) is a project which will be considered as a system of solving all issues relating to agriculture including the purchasing and selling of agricultural crops. Agriculture Management System (AMS) is an academic project. The project is under the central supervision and control of the government in the field of proper agricultural work and proper production in the field of agriculture as well as the solution of all agricultural problems, the price of a new product in any district, the sale of items. If there is any problem in the agricultural land using this system, the farmer will post for the solution of that problem and their post will reach the agriculture office. All the activities can be done in our system starting from sending the solution of the problem immediately. This would assure agricultural security while also increasing government revenue.
Agro Cattle Care
(Daffodil International University, 2021-06-21) Hosen, Sharif
We know that Bangladesh is an agricultural country, the first source of income of Bangladesh is agriculture. However, it goes without saying that our government has no central request to manage or monitor these. Due to this Bangladesh and the farmers have to face a kind of problem. My proposed system "Agro Cattle Care" will be able to buy and sell all these problems like agricultural seeds. Cultivation rules, livelihood problems, quality beach recognition, livestock treatment system, agronomist and counseling, etc. can be solved properly. They may benefit from using this system. If any farmer has any problem, they can take the help of this system.
Agro Disease Finder System of Cauliflowers Using Convolutional Neural Network
(Daffodil International University, 2022-02-13) Israfil, Israfil
In an underdeveloped country in South Asia like Bangladesh, every year, many farmers have suffered significant losses as a result of the cauliflowers illness. Farmers have no advanced knowledge of infection detection and mitigation strategy. They can understand the infections after the cauliflowers had already been damaged and in that, they have nothing to do in this matter. Many farmers are now afraid to take efforts to grow cauliflowers because of the loss of production. In this regard, we conducted a study using the improvement of artificial intelligence technology to identify and categorize cauliflowers sickness. We provide an online computer vision technology for developing an Agro disease finder system (AdFS) that analyzes a cauliflower picture recorded with a mobile or portable device and identifies illnesses, allowing faraway farmers to treat the problem. Firstly, we made a dataset with the help of agricultural expertise. They help us to identify the unhealthy cauliflower by examining it in their laboratory after that we took the photo and made this dataset for our research work. Our dataset contains 444 infected cauliflower images which categorize into four types of diseases. According to the TensorFlow and Keras APIs, we utilized the CNN model. This model is dependable and completely linked with all segmentation accomplished. The whole procedure is dependent on deep learning and the technique we use here is called the transfer learning technique. For accomplishing this problem, we used three state-ofthe-art algorithms and that is VGG19, VGG16 and ResNet50.
Agro-Health
(Daffodil International University, 2024-01-01) Pasha, Syed Tangim
Presenting "AgroHealth," a cutting-edge online application designed to satisfy the many demands of farmers and medical professionals working in the agriculture industry. This dynamic platform aims to improve the general health and well-being of crops by acting as a central point for smooth communication and collaboration. With the help of AgroHealth's user-friendly interface, farmers may effectively report and record health-related problems impacting crops. A consolidated database with vital details about agricultural circumstances, illness histories, and particular health needs is established via the online program. Healthcare workers may make wellinformed judgments and offer prompt support with the help of this repository. One of AgroHealth's best features is its live video calling feature, which lets users find the closest agricultural health centers. This makes sure that health-related issues are routed quickly and accurately, linking farmers to the closest medical providers. Moreover, AgroHealth delivers real-time updates and notifications, keeping farmers and healthcare professionals informed about crucial concerns and trends in their agricultural community. This function improves the industry's general awareness and reactivity. With the use of AgroHealth's collaboration tools, farmers and medical experts can communicate more effectively and share vital information including immunization schedules, disease management plans. This simplified method improves agricultural health practices and raises the general health of crops and cattle.
Ai studio
(DAFFODIL INTERNATIONAL UNIVERSITY, 2024-01-21) Pritom, Sondipon Paul
AI Studio is an integrated work-environment, Learning Management System, as well as a Creative Cloud that has been developed to change the way people work, learn, and create with the help of AI. It showcases and combines systems like DALL-E for image generation and AI content creation for various users from content creators to educators and businesses to break down complicated creative processes. AI Studio engages its community members with post sharing, comments, and quiz functionalities besides providing differential subscription with a plan that provides obligatory access to the core AI Studio services. As a result, the heart of the platform is based on Laravel and MySQL with integrated modern frontend frameworks such as Bootstrap to provide a smooth interface to the users. The development process was done using an agile model where it is possible to test and integrate feedback in every loop, aimed at functionality and scalability. Therefore, key challenges, for example, the complexity of the integration of a set of high-demand AI tools, the platform scalability problem, and security threats or risks were either solved or reduced by the help of asynchronous processing techniques, cloud based infrastructure, and data encryption protocols. The straightforward design and architecture of the platform allow both engineers and laymen to leverage advanced AI tools, encouraging quick development. The concept of AI Studio is to promote and enhance the ability of individuals and organisations to capture, share, learn and create knowledge in the age of digital affiliation. This project not only shows that pair AI with good design and proper implementation, further innovation on using AI on various platforms can be created
AI Studio :Revolutionizing Interior and Graphic Design
(Daffodil International University, 2025-01-19) Pritom, Sondipon Paul
AI Studio is an integrated work-environment, Learning Management System, as well as a Creative Cloud that has been developed to change the way people work, learn, and create with the help of AI. It showcases and combines systems like DALL-E for image generation and AI content creation for various users from content creators to educators and businesses to break down complicated creative processes. AI Studio engages its community members with post sharing, comments, and quiz functionalities besides providing differential subscription with a plan that provides obligatory access to the core AI Studio services. As a result, the heart of the platform is based on Laravel and MySQL with integrated modern frontend frameworks such as Bootstrap to provide a smooth interface to the users. The development process was done using an agile model where it is possible to test and integrate feedback in every loop, aimed at functionality and scalability. Therefore, key challenges, for example, the complexity of the integration of a set of high-demand AI tools, the platform scalability problem, and security threats or risks were either solved or reduced by the help of asynchronous processing techniques, cloud based infrastructure, and data encryption protocols. The straightforward design and architecture of the platform allow both engineers and laymen to leverage advanced AI tools, encouraging quick development. The concept of AI Studio is to promote and enhance the ability of individuals and organisations to capture, share, learn and create knowledge in the age of digital affiliation. This project not only shows that pair AI with good design and proper implementation, further innovation on using AI on various platforms can be created.
AI-Driven Job Recommendation System for Underprivileged Communities in Bangladesh
(Daffodil International University, 2025-01-21) Sakib, Mottakin Ahmed
The entire findings of my proposal, "AI-Driven Job Recommendation System for Underprivileged Communities in Bangladesh," may be read here. This article covers all of the procedures involved in turning the concept into a working website. In this project, there have one module: User modules. This project introduces a new smartphone application that uses artificial intelligence to deliver individualized career recommendations to Bangladesh's poor areas. The system, built in Java and powered by a large dataset, includes secure user authentication capabilities such as login, registration, and password recovery. Dataset contains almost 3761 data and features like: “experience_level, salary, company_size, age, company_name”, etc are columns. For user’s authentication use SQLite database. Users may utilize the thorough job search option to learn more about potential possibilities, while the AI-powered recommendation search engine examines user inputs to provide personalized job ideas. Furthermore, the program features a multilingual interface that enables for easy switching between English and Bangla, making it accessible to a wide range of users. Overall, this approach seeks to close the employment gap by linking disadvantaged job searchers with suitable work opportunities, promoting socioeconomic empowerment and progress in the region. From idea to execution, the research examines every aspect of mobile application development, including architecture, user interface design, and technologies used. The user interface was built with Java XML, while the backend was built with Python AI and Java. To set up our system application, no expensive software or computer components are required; all you need is a standard desktop computer and Internet access.
AI-Driven Job Recommendation System for Underprivileged Communities in Bangladesh
(DAFFODIL INTERNATIONAL UNIVERSITY, 2024-06-24) Sakib, Mottakin Ahmed
The entire findings of my proposal, "AI-Driven Job Recommendation System for Underprivileged Communities in Bangladesh," may be read here. This article covers all of the procedures involved in turning the concept into a working website. In this project, there have one module: User modules. This project introduces a new smartphone application that uses artificial intelligence to deliver individualized career recommendations to Bangladesh's poor areas. The system, built in Java and powered by a large dataset, includes secure user authentication capabilities such as login, registration, and password recovery. Dataset contains almost 3761 data and features like: “experience_level, salary, company_size, age, company_name”, etc are columns. For user’s authentication use SQLite database. Users may utilize the thorough job search option to learn more about potential possibilities, while the AI-powered recommendation search engine examines user inputs to provide personalized job ideas. Furthermore, the program features a multilingual interface that enables for easy switching between English and Bangla, making it accessible to a wide range of users. Overall, this approach seeks to close the employment gap by linking disadvantaged job searchers with suitable work opportunities, promoting socioeconomic empowerment and progress in the region. From idea to execution, the research examines every aspect of mobile application development, including architecture, user interface design, and technologies used. The user interface was built with Java XML, while the backend was built with Python AI and Java. To set up our system application, no expensive software or computer components are required; all you need is a standard desktop computer and Internet access.
AI-Driven RFM E-Commerce
(DAFFODIL INTERNATIONAL UNIVERSITY, 2024-02-10) zaman, Rakibuz
The findings that support my concept, "AI-Driven RFM E-Commerce," may be read in its entirety. In this article, the techniques utilized to transform the idea into a working website are discussed in depth. One module that sticks out among system users is the admin dashboard. I have been working on student project, which uses artificial intelligence to analyze dynamic customer, sales, and product data. The needs will be similar to what specifically mentioned. Three main areas & Dashboard are the emphasis of this project's development of AI-driven insights: Product Analysis (Dashboard-1): Predicting trends and performance by using forecasting models. Transaction/Sales Analysis (Dashboard-2): Finding trends and useful information in sales data. Customer Analysis (Dashboard-3): Recognizing consumer trends and segmenting them to improve decision-making. Technical Information Integration: To ensure smooth viewing and interaction, the dashboards will be integrated using frames. Data Handling: In order to enable real-time updates and more profound insights, I want to integrate the data with a dataset to make it static. For both the user interface and database backend, I have used Python, respectively. No costly software or computer components are required to set up my system application; all you need is your desktop machine and internet access. Almost any user with a regular internet connection may use my platform-neutral solution at any time and from any location. I may change my system to meet certain needs as well.
AI-Driven RFM E-Commerce
(Daffodil International University, 2025-03-04) zaman, Rakibuz
The findings that support my concept, "AI-Driven RFM E-Commerce," may be read in its entirety. In this article, the techniques utilized to transform the idea into a working website are discussed in depth. One module that sticks out among system users is the admin dashboard. I have been working on student project, which uses artificial intelligence to analyze dynamic customer, sales, and product data. The needs will be similar to what specifically mentioned. Three main areas & Dashboard are the emphasis of this project's development of AI-driven insights: Product Analysis (Dashboard-1): Predicting trends and performance by using forecasting models. Transaction/Sales Analysis (Dashboard-2): Finding trends and useful information in sales data. Customer Analysis (Dashboard-3): Recognizing consumer trends and segmenting them to improve decision-making. Technical Information Integration: To ensure smooth viewing and interaction, the dashboards will be integrated using frames. Data Handling: In order to enable real-time updates and more profound insights, I want to integrate the data with a dataset to make it static. For both the user interface and database backend, I have used Python, respectively. No costly software or computer components are required to set up my system application; all you need is your desktop machine and internet access. Almost any user with a regular internet connection may use my platform-neutral solution at any time and from any location. I may change my system to meet certain needs as well.
Ai-Powered Crop Disease Detection and Solution System to Empower Rural Entrepreneurs With Limited Education.
(Daffodil International University, 2025-08-02) Rahman, Abdur
The whole outcomes of my proposal, " AI-POWERED CROP DISEASE DETECTION AND SOLUTION SYSTEM TO EMPOWER RURAL ENTREPRENEURS WITH LIMITED EDUCATION", may be seen here. This essay goes into great detail about how the idea was transformed into a working website. The user dashboard is one element that system users notice. The project's objective was to develop a web application with image classification and GPT OpenAI integration for Fast API, AI-powered crop disease detection and assistance. intends to create a web application that uses picture recognition to classify agricultural diseases. Users will be able to snap a picture, submit it, and use the app to identify illnesses. An GPT OpenAI integration will also be incorporated to respond to user inquiries and offer answers about ailments that have been identified. An alternative is to establish specified wording for illness information and prevention. There is also an online version that requires uploading images before processing. The goal of this research is to create a picture web categorization system for crop disease identification. Users may take pictures of afflicted crops or submit them, and the system will accurately identify the illnesses. Four crops, each with three to four illnesses, will be supported by the system for categorization. An integrated Fast API GPT OpenAI integration will also giveanswers to user questions, solutions, or predetermined data on the specifics of the illness, prevention, and therapy. There will also be an online version that requires image submissions in order to diagnose diseases. This system gives farmers immediate, AI-driven information to improve agricultural decision-making. Every aspect of the system development process, from idea to execution, is covered in the research, including the technologies used, architecture, and user interface design. Python was used for the backend and Frontend use stream lit. All you need is a standard desktop computer and internet access to set up our system application; expensive software or computer components are not required.
AI-Powered General Assistant Software
(Daffodil International University, 2025-11-30) Rahman, Shafin
This software names as AI-Powered General Assistant Software aims to be a stand- alone desktop assistant integrating Python, FastAPI, React, combining with both local (offline) and OpenAI-based models. The system provides a conversational interface that is capable of executing commands, managing files, browsing the web, reading on-screen content, and performing advanced reasoning tasks. Additionally, it has the ability to recognize face with DeepFace(python). The goal is to bridge the gap betweenAI’s accessibility and user autonomy. Unlike commercial assistants (e.g., Siri or Google Assistant), this system operates independently on the user’s machine, this ensures privacy and full control over users’ local conversation. The software has a very simple chat base frontend and a strong logical backend that support both offline AI (Ollama) and cloud AI (OpenAI API). It maintains sessions as memory with recall ability that hold the user and AI conversation in one page. By simply using command user can generation files (.txt, .docx, .pdf, .pptx) in their local storage. It can act on voice command by calling the wake word(customizable). This assistant software can also be used to organized the storage with in few seconds. It can also send email with any type attachment. By using the python Deepfake, it can organize images by face. This works best on organizing images from a google drive and send them to the person that matches by face and mail them to their personal mail.
Alumbridge
(Daffodil International University, 2024-01-23) Tamanna, Nazmun Nahar
The "Alumbridge" project, titled "Bridging the Educational Journey of Students and Alumni," is a comprehensive initiative aimed at establishing a robust connection between current students and distinguished alumni within an educational institution. The project focuses on fostering a supportive environment for newcomers, providing them with career guidance, industry connections, and confidence in their career choices. The overarching goal is to motivate and assist students in achieving their objectives by showcasing alumni success stories and offering career development resources. The project's foundation lies in meticulous initial research to identify potential challenges and opportunities, understand the needs and preferences of students and graduates, and develop an effective plan for bridging educational journeys. An alumni database is created, housing details about their professional backgrounds and interests, facilitating networking events and mentor ship pairings. The feasibility study examines operational, technical, and financial aspects, ensuring the project's viability and practicality. Market research informs the project's design, ensuring alignment with the needs of students and alumni. The project's objectives include building a bridge between alumni and students, providing a detailed career path for newcomers, and offering insights into real industries' work culture and facilities. Key aims involve encouraging knowledge sharing, facilitating networking, creating a supportive community, and enhancing career development. The project's features and requirements include a dashboard, messaging system, timeline profiles, blogging capabilities, alumni panels, Q&A sessions, and job opportunities. Prioritization is done using the MoSCoW method, ensuring essential functionalities are prioritized. In summary, the "Alumbridge" project aims to create a dynamic and interactive platform that not only connects students with alumni but also provides valuable resources and experiences to facilitate successful educational and professional journeys.