Summer 2023

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    An Undergraduate Internship/Project on Book Recommendation System at ADN DigiNet
    (Independent University, Bangladesh, 2023-10-19) Kabir, Ashraful
    As an intern in the artificial intelligence division of ADN DigiNet, I had the opportunity of developing prototypes and proof of concept projects utilizing Machine Learning (ML) and Artificial Intelligence (AI) techniques. The internship commenced with an intensive two- month training phase, immersing us in ML concepts, tools, and available libraries. Subsequently, the final month was dedicated to applying our newly acquired knowledge and skills to work on individual projects. The development of an intelligent book recommendation system was the main goal of my project, that utilizes AI techniques to suggest popular books to users and recommend books based on similarity. The primary objective of the system is to address the growing challenge of information overload in the digital age, where countless books are published regularly, making it increasingly difficult for users to discover relevant and interesting reads. As part of this project, I played a key role in developing the system's AI model. I was specifically in charge of putting the essential features into place, such as the collaborative and popularity-based filtering methods. Throughout the development process, various challenges were addressed, including data preprocessing and model optimization. By employing suitable AI techniques, the model successfully overcomes these challenges, resulting in an effective book recommendation system.
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    An Undergraduate Internship/Project on Topic “FamiPlasma Mobile App”
    (Independent University, Bangladesh, 2023-10-18) Morshed, Md.Yeard
    The FamiPlasma Mobile Application is an all-inclusive platform that revolutionizes blood donation within families. This innovative app intends to simplify organizing blood donation events among family members, ensuring the timely availability of blood and fostering a sense of unity and support among family members. Essential features of the FamiPlasma Mobile Application include user registration, a QR code scanner, and the capacity to invite family members via email or QR code scanning. Once registered, users can quickly search for compatible blood groups within their family network, providing an essential resource during emergencies. Additionally, the app offers insights into any diseases or medical conditions within the family, facilitating determining eligibility for blood donation. Only authorized family members can access individual data to uphold privacy and confidentiality, ensuring that personal information remains secure and accessible only to those who genuinely need it. Additionally, the app encourages regular blood donation by taking account of each user's contributions and recognizing their altruistic efforts. In addition, FamiPlasma provides users with essential information about nearby blood banks, including their locations and contact information. This feature facilitates communication with blood banks, fostering a strong relationship between families and donation centers. The FamiPlasma Mobile Application is poised to have a significant impact by increasing the efficacy and accessibility of blood donation within families. Utilizing technology, it seeks to save lives, promote health awareness, and strengthen familial bonds by fostering a sense of shared responsibility.
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    An Undergraduate Internship on Potato Plant Disease Detection and Edu Chatbot
    (Independent University, Bangladesh, 2023-08-24) Raihan, Akib
    At ADN DIGINET, I am currently undertaking an enriching internship as an Artificial Intelligence Trainee, working collaboratively with a team of four members. The internship's primary goal is to develop and submit two or more AI-related projects. In this abstract, I present the details of the ongoing projects, "EDU Chatbot'' and "Potato Plant Disease Detection." The "EDU Chatbot" project aims to create an intelligent chatbot tailored for university-related inquiries. The chatbot's functionalities include answering student queries about university facilities, financial aid, and other relevant information. To develop this innovative solution, I am utilizing TensorFlow and Nltk libraries to build the underlying model. For deployment, we plan to implement a Flask API, coupled with a front-end design using React. The chatbot's capabilities will empower students to access accurate and timely information about their respective universities. In the "Potato Plant Disease Detection" project, our focus is on creating an AI-based system capable of accurately identifying diseases affecting potato plants. By submitting an image of the plant, the model will predict whether it is suffering from early blight, late blight, or if it remains healthy. Utilizing Convolutional Neural Networks (CNN) and TensorFlow, I am actively constructing the disease detection model. The API framework we intend to implement is FastAPI, with the frontend to be developed using HTML and CSS. This project's successful completion will provide farmers with a valuable tool for crop health management. Throughout the initial stages of the internship, I have dedicated time to enhance my knowledge of various machine learning and deep learning libraries. This period has allowed me to become proficient in utilizing essential tools and methodologies for successful AI projects. As the internship progresses, I am actively engaged in hands-on learning, gaining valuable experience in team collaboration, and honing my skills in Artificial Intelligence technologies, 8 | Page including TensorFlow, CNN, FastAPI, NLP and ReactJS . I look forward to presenting the final outcomes of these projects, which will demonstrate my ability to address real-world challenges through innovative AI solutions.
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    An Undergraduate Internship on InfiltraWatch
    (Independent University, Bangladesh, 2023-10-04) Hasan, Azwad Fawad
    This project develops a web application that makes use of modern computer vision and existing CCTV infrastructure to solve the growing security issues in industrial buildings. The main goal is to effectively and instantly hinder potential attackers and prevent unlawful entry. The solution makes use of a state-of-the-art AI model to intelligently evaluate the CCTV cameras’ video stream to recognize and categorize any individuals in the picture. To enable thorough surveillance of the premises, the model is particularly trained to recognize human figures, count the number of people, and mark off forbidden zones. When it detects any human presence in the designated areas after hours. The MySQL database is populated with the combined date, time, human count, and camera position by a Python script. A simultaneous alarm is sent off inside the designated region with the intention of frightening and discouraging the intruder. It is anticipated that the implementation of this web application would dramatically improve security controls, decrease potential weaknesses, and significantly lower the danger of property damage and loss in industrial settings. The project not only seeks to secure the factory property but also contributes to the investigation of the use of AI in surveillance for more extensive applications
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    An Undergraduate Internship/Fashion World eCommerce
    (Independent University, Bangladesh, 2023-09-24) Haque, Adiba
    The "Fashion World" eCommerce project is a visionary undertaking within the fashion industry. With a focus on seamlessly connecting style and convenience, this project aims to redefine online retail. By curating a diverse range of fashion products, from apparel and accessories to footwear and beauty items, Fashion World seeks to offer customers an allencompassing shopping experience. The platform's user-centric design incorporates cutting edge features such as personalized recommendations and virtual try-ons, making it a destination for fashion enthusiasts to explore and express their unique styles. Moreover, Fashion World places paramount importance on security, implementing robust cybersecurity measures to ensure safe transactions and protect customer data. With a commitment to agility and adaptability, the project continuously evolves, staying attuned to market trends and customer preferences. In summary, the "Fashion World" eCommerce project embodies a vision where fashion meets technology, providing a secure, engaging, and stylish platform for consumers to access their fashion needs with unparalleled ease.
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    An Undergraduate Internship on Power BI (DATA ANALYST)
    (Independent University, Bangladesh, 2023-09-24) REDWANUL HAIDER, SYED ALI
    In today's dynamic industrial landscape, data-driven decision-making stands as a foundational pillar of operational success. This document encapsulates the meticulous planning, development, and continual maintenance of an industrial dashboard designed to empower organizations in the monitoring, analysis, and optimization of their operational processes. With a focus on user-centric design, interactive functionality, robust data integration, and stringent security measures, the dashboard serves as a userfriendly and secure platform for informed decision-making. Notably, the integration of machine learning brings predictive maintenance, real-time anomaly detection, and data-driven insights to the forefront, transforming operational efficiency and risk mitigation. Furthermore, the project champions sustainability, environmental responsibility, and positive social impact, underpinned by a commitment to reducing ecological footprints and nurturing community relations. Looking ahead, the project envisions expanding data sources, enhancing user experiences, and maintaining an unwavering dedication to sustainability, making it a testament to the organization's commitment to data-driven excellence, responsible corporate citizenship, and a sustainable future.
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    An Undergraduate Internship/Project on Topic “E-Medic & Health Care E-commerce Website”
    (Independent University, Bangladesh, 2023-10-18) Hani, Umme
    The internship at Appnap Technologies Limited provided a once-in-a-lifetime opportunity to help build and implement the E-Medic & Health Care E-commerce Website. The goal of this project was to build a digital platform where clients could easily purchase medicines, healthcare products, and devices. Working closely with the development team, the project leveraged modern web technologies to build a robust and user-friendly website. The E-Medic & Health Care E-commerce Website empowers customers to order and purchase a wide range of medical products and devices from the comfort of their homes. The platform also incorporates an efficient admin interface, enabling seamless product management and customer interaction. Customers can explore an extensive catalog, place orders, and enjoy the convenience of online shopping, while administrators can easily oversee inventory and customer accounts. Critical aspects of the project lifecycle included requirements analysis, system design, web development, rigorous testing, and successful deployment. Continuous user feedback was essential in refining the system and ensuring that it suited the different needs of both customers and administrators. The evaluation of the E-Medic & Health Care E-commerce Website showcases promising results. Customers benefit from a hassle-free online shopping experience, access to a variety of healthcare products, and secure transactions. Meanwhile, administrators find it efficient to manage inventory and customer interactions through the user-friendly admin interface. Future project recommendations include including advanced functions such as customized recommendations, integrating with secure payment channels, and continuously monitoring user feedback and industry developments. This approach will encourage ongoing improvements and innovation inside the E-Medic & Health Care E-commerce Website, hence improving the healthcare buying experience for all stakeholders.
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    An Undergraduate Internship/Project on Clippers
    (Independent University, Bangladesh, 2023-10-18) Rabby Mamud, Topu Rayhan
    Clippers is a mobile application designed to address the main problem of long waiting times for haircuts. The app offers a comprehensive solution for a swift and hassle-free haircut experience by leveraging technology to minimize wait times. Users can conveniently locate nearby barber shops through the integration of Google Maps API, and the app provides real-time information on wait times and queue sizes, allowing customers to plan their visits more efficiently. Additionally, Clippers enables users to access ratings and reviews of barbershops, empowering them to make informed decisions about where to get their haircuts. The project aims to enhance customer satisfaction while creating opportunities for local barbershops to flourish alongside their competitors. Key objectives include user registration, displaying nearby barbershops, providing wait time and queue size information, facilitating ratings and reviews, enabling appointment bookings and online payments, and allowing shop owners to update services and wait times. By addressing the main problem of long wait times, Clippers simplifies the haircut process, saves users' valuable time, and improves the overall customer experience. The app promotes competition among barbershops, leading to better pricing and service quality, and it opens up new job opportunities for developers. Clippers is a user friendly, secure, and cross-platform application that transforms the haircut experience into a seamless and efficient process.
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    An Undergraduate Internship/Project on E-commerce Project
    (Independent University, Bangladesh, 2023-10-01) Raiyan, Rafsan
    Appnap Technologies Limited, better known as Appnap, is a software company based on Dhaka, Bangladesh. Appnap provides a wide range of professional services to both local and international market including website building, video streaming platform, mobile application, web application, e-commerce websites and apps, user experience and user interface design, business research. During my internship, I played a key role in building an e-commerce website, an essential service in Appnap's offerings. This hands-on experience helped me turn classroom learning into practical skills and collaborate closely with experienced experts to grasp the ins and outs of effective online shopping platforms.
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    Web Application : TaskRise
    (Independent University, Bangladesh, 2023-10-05) Tasnim, Umme
    Throughout my internship at Fiber@Home Global Ltd. software division, I had the opportunity to learn more about creating web apps and applying them in practical settings. We present a unique TaskRise - A task management system created to meet the specific requirements of Fiber@Home Global Limited, a business that has more than 70 employees. Employees and Supervisors are two distinct user roles in this system. Employees can see the task that they have been assigned, check their meeting schedules to manage their time effectively, apply for leave with ease, request for repair if anything is damaged or need to get repair and also can monitor the status of their leave requests. Whereas the supervisors assign tasks to employees, distribute work assignments efficiently, edit assigned tasks as needed, can call for meetings, review leave applications, ensuring that time-off requests align with organizational needs, watch repair requests. And Add new users to the system. The system promotes greater efficiency, open communication and personal accountability by centralizing task creation, assignment tracking, meeting schedule, leave management and repair request. Fiber@Home Global Limited starts a journey toward operational optimization, simplified workforce management and increased transparency as soon as it implements this task management system. Through efficient task coordination and leave management, this system is ready to empower the organization to meet its goals. My teamwork and communication skills have considerably increased as a result of this internship, which will be an enormous asset in my future job as a web developer.