https://journal.hmjournals.com/index.php/IJITC/issue/feedInternational Journal of Information Technology & Computer Engineering (IJITC) ISSN : 2455-52902024-02-17T09:39:43+00:00Editor in Chiefchiefeditor.ijitc@gmail.comOpen Journal Systems<p><strong>International Journal of Information Technology and Computer Engineering (IJITC)</strong> <strong>havining</strong> <strong>ISSN : 2455-5290</strong> is a Double Blind Peer reviewed open access journal.The journal is an archival journal serving the scientist and engineer involved in all aspects of information technology computer science, computer engineering, Information Systems, Software Engineering and Education of Information Technology. For this purpose we invite you to contribute your excellent papers in the relevant fields. The publications of papers are selected through Double Blind Peer Review to ensure originality, relevance, and readability. </p>https://journal.hmjournals.com/index.php/IJITC/article/view/3559Enhancing the Online Shopping Experience of Consumers through Artificial Intelligence 2024-01-24T09:46:29+00:00Deepshikha Aggarwaldeepshikha.aggarwal@jimsindia.orgDeepti Sharmadeepshikha.aggarwal@jimsindia.orgArchana B. Saxenadeepshikha.aggarwal@jimsindia.org<p>Artificial intelligence (AI) has revolutionized the online shopping experience for consumers. With AI-powered technologies, businesses can offer personalized recommendations based on consumers' browsing and purchase history. This creates a more tailored and convenient shopping experience, saving consumers time and effort. Additionally, AI can assist in fraud detection and prevention, ensuring secure transactions and building trust with customers. Moreover, AI chatbots are increasingly being used to provide instant and accurate customer support, answering queries and resolving issues promptly. As technology continues to advance, AI will play an even more significant role in enhancing the online shopping experience.AI can analyze vast amounts of data and identify patterns, enabling businesses to optimize their inventory management and supply chain processes. By predicting demand and optimizing product availability, AI helps reduce stock outs and overstocks, leading to increased customer satisfaction. AI-powered virtual try-on technology is also gaining popularity, allowing consumers to virtually try on clothing, accessories, and even makeup before making a purchase. This helps them make more informed buying decisions and reduces the likelihood of returns. Overall, AI is transforming the online shopping landscape by improving personalization, security, customer support, and product discovery, making the experience more enjoyable and efficient for consumers.</p>2024-02-01T00:00:00+00:00Copyright (c) 2024 Authorshttps://journal.hmjournals.com/index.php/IJITC/article/view/3560Voice-guided Mobile Assistance for the Visually Impaired2024-01-24T09:52:01+00:00Yash Khopkarykhopkar3@gmail.comAvantika Deshmukhykhopkar3@gmail.comProf. Gufran Ansariykhopkar3@gmail.com<p>In today's digital age, mobile apps have transformed our daily lives, but for people with visual impairments, these apps often present accessibility challenges. This research addresses the need for improved solutions by focusing on "voice-guided assistance" for Android smartphones. The existing options for visually impaired users are fragmented, and this study aims to create an integrated mobile application, "Voice Companion," designed to enhance their digital experience. "Voice-Companion" is a specialized Android application designed for visually impaired individuals, developed in Java within the Android Studio environment. It leverages the Android OS to provide comprehensive non-visual access. With features like voice commands, object detection, messaging, a voice-activated calculator, location and time announcements, text-to-speech capabilities, and battery status updates, the user-friendly app bridges accessibility gaps, empowering visually impaired users for equal participation in the digital realm. Its modular, user-centric design emphasizes accessibility through seamless integration of voice commands and gesture recognition, facilitating efficient interactions with mobile devices. This research aims to create "Voice-Companion," enhancing smartphone accessibility through seamless voice command integration and gesture recognition. Anticipated results include improved digital engagement and quality of life for users with visual impairments.</p>2024-02-01T00:00:00+00:00Copyright (c) 2024 Authorshttps://journal.hmjournals.com/index.php/IJITC/article/view/3561Detection of Freshness of Fish using Machine Learning Techniques on Vyas Municipality, Nepal 2024-01-24T09:56:31+00:00Deepak Panthadeepakpantha.phd@gmail.comChandra Maya Mishrachandramishra966@gmail.com<p>The historical narrative of the fish trade is well-document in various sources. However, the concerning prevalence of fish traders vending spoiled fish poses a significant threat to human health, prompting specific research inquiries. The study aimed to address key questions: What quality of healthy fish do traders sell? How effective are their fish storage methods? What's the duration between fish purchase and consumer access? The study objectives were devised to uncover a actual condition of the fish on sale, assess storage practices, and determine the selling timeline. To achieve these aims, the study employed the EfficientNetB1 machine learning model, chosen for its simplicity and high accuracy. Five fish shops and traders from wards 1,2,3 and 4 in Damauli, the primary city of Vyas Municipality in Nepal, were selected for investigation. Results from five main city shops in Damauli revealed that only 26% of the fish were deemed healthy, while a concerning 74% were identified as rotten. Similarly, within the sample, 44% of the fish were healthy, while 56% were spoiled. This study unveiled that fish were being sold even up to 15 days post-purchase, employing ice packs, refrigeration, and potentially chemicals for storage. These findings highlight the urgent need for ongoing monitoring by relevant stakeholders and local government entities to address this issue effectively.</p>2024-02-01T00:00:00+00:00Copyright (c) 2024 Authorshttps://journal.hmjournals.com/index.php/IJITC/article/view/3570Exploring Usage of AWS Lambda in Data Processing2024-01-25T05:45:58+00:00Shubhodip Sasmalshubhodipsasmal@gmail.com<p>Cloud computing is changing game all around the industry. It’s delivering computing resources, such as storage, processing power without investing in and managing physical infrastructure, offering a more flexible and cost-effective approach to meet computational demands. Serverless computing is a cloud computing execution model where cloud providers automatically manage the infrastructure needed to run applications and scale. This paper examines use of AWS Lambda in Data processing, the leading serverless computing service of Amazon Web Services (AWS). Our study will explore the architecture, integration of AWS Lambda with other AWS services, real-world use cases, proposing best practices for Data processing. This research will provide a complete understanding of AWS Lambda and findings here are a valuable resource for people looking to unleash the benefits of AWS Lambda in a scalable and high-performance cloud-native application architecture.</p>2024-02-01T00:00:00+00:00Copyright (c) 2024 Authorshttps://journal.hmjournals.com/index.php/IJITC/article/view/3681Online Food Ordering System2024-02-17T09:39:43+00:00Ulemu Mponelaulemu44@gmail.comDr. Kadar Shereefulemu44@gmail.comDr. Tawarishulemu44@gmail.com<p>Online Food Ordering App is an application designed primarily for use in the food delivery industry. This system will allow hotels, restaurants and food courts to increase the scope of business by reducing the labour cost involved. The system also allows to quickly and easily manage an online menu which customers can browse and use to place orders with just few clicks. Admin employees then use these orders through an easy to navigate graphical interface for efficient processing. The online food ordering system provides convenience for the customers. This system increases the takeaway of foods than visitors. The online food ordering app set up menu online and the customers easily places the order with a simple click. Also, with a food menu online you can easily track the orders, maintain customer s database and improve your food delivery service. The proposed system leverages the latest in mobile technology to bridge the gap between restaurants, food enthusiasts, and delivery services. It offers a user-friendly interface that allows users to browse a wide range of cuisine options, explore restaurant menus, customize orders, and place them seamlessly. The system is powered by trending Artificial Intelligence Technologies like Machine Learning, Recommendation Engine, Route optimization for delivery and Image recognition for meal searching. This system will be a culinary companion that will connect users to their favourite food experiences without leaving the comfort of their homes or offices. Its dynamic features make it an indispensable tool for food enthusiasts and a valuable asset for the restaurant industry, creating a win-win situation for all stakeholders involved in the modern gastronomy ecosystem.</p>2024-02-17T00:00:00+00:00Copyright (c) 2024 Authors