This Computer Science Dissertation Sample is a research proposal (part of the complete computer science dissertation) prepared for one of our previous clients pursuing a Master’s in Computer Science at a UK university. Focused on building a Real-Time Data Web App for Smarter Consumer Decisions, the proposal outlines the project’s objectives, methodology, and expected outcomes. If you’re looking to understand the level of high-quality dissertation work we provide, this sample serves as an excellent reference.
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Computer Dissertation Sample: In the Market Web-Application
Real-Time Data Web App for Smarter Consumer Choices
Table of Contents
Project Definition
The project intends to develop a market web application for developing a market web application for assisting consumers and clients to be capable of accessing and connecting with the market firms through online platforms. Web applications are considered to have grown rapidly in importance for several companies (Efuntade et al. 2023). “In the Market” web application is a significant project to evaluate and assist clients and businesses in managing the decision-making processes based on handling multiple procedural activities. These processes include activities based on price, availability and performance of products based on vital features of the products. The web application is developed to assist customers by providing real-time online showcasing by innovating information and decision-making activities for purchasing also based on keywords and features sought by customers.
The web application is developed based on the Django web framework for an enhanced and secure market web application design. Django framework is used for “developing python-based web applications” that aid in creating secure, fast, and scalable web application platforms (Bakshi et al. 2020).
Introduction to Real-Time Data Web Applications in Consumer Decision-Making
Real-time data web applications are transforming the way consumers make informed purchasing decisions by providing instant access to updated market information. The In The Market Web App leverages real-time data to offer users accurate comparisons of products and services, ensuring smarter consumer choices. This dissertation explores how integrating real-time data solutions enhances decision-making, improves user experience, and addresses consumer challenges.
The project will use the framework for building a scalable market web application. This application will engage with customers’ decision-making by projecting the statistics on performance, sales, key features, and consumer feedback of highly functional and priced products such as houses and automobiles, from the images and product descriptions hyperlinked with product manufacturers and suppliers. The project also will involve students for inputs and feedback on improvisations and feature development of the application based on its interactivity capacity, practicality and efficiency of the market web app.
Aims and Objectives
The primary objective of the In The Market Web App development is to leverage real-time data for enhancing consumer decision-making by providing accurate product comparisons and actionable insights.
The following project will explore developing a market web application called “In the Market”, capable of streamlining the procedure of inquiry and decision-making for large purchases such as automobiles including cars and motorbikes, and accommodations including, apartments, homes, and so on. The aim for doing so will be focused on providing customers with an accessible market web app as a platform for simplified, user-friendly and efficient searching and decision-making before making important purchases. The objectives include
- To develop a scalable and secure market web application using the Django framework
- To include scraping methods for building updated datasets on costs, statistical performance, market demand and key features
- To enhance the market web app user experience through preference-based product sorting, keyword and image navigation with regularly updated description and sale details
- To work on efficiently improving features of market web applications with time.
Research Questions
- How is an interactive, scalable and user-friendly web application able to contribute to the market web app user experience?
- What can an upgraded dataset on market demands, performance, sales and pricing of high-priced products help with for customers’ purchasing decision-making?
- Why is making a preference-based, keyword and image navigation sorting feature an efficient purchasing decision solution for customers?
Hypothesis
The web app “In the Market” would hypothetically expand user interactivity and improve the experience with online market space through a data-driven platform meant to assist customers with informed purchasing decisions.
H0: A preference-based keyword and image-navigated market web application is not efficient for streamlining solutions for customer purchase decisions.
H1: A preference-based keyword and image-navigated market web application is very efficient for streamlining solutions for customer purchase decisions.
Outcomes
The project could be identified to contribute through possibly two outcomes. The project could expand on the outcome of research and development of more interactive and data-oriented marketing through online platforms. The development of effective measures is based on expanding user experience to be enhanced through multiple perspectives. Hence, the project will have one of the outcomes focused on expanding research on customer buying behaviour towards high-priced products such as automobiles and houses. It will also lead to evaluation and related research on market web app use tendency for comprehending effective features, techniques and the need for continuous data upgradation for improving user experience.
Moreover, this project can also lead to the outcome of academic exploration for understanding the use and significance of the said features within the market web app “In the Market”. This outcome will be beneficial in understanding certain app solutions and features as a means for improving existing understanding on relations of customer behaviour, user experiences and web app development, alongside navigating as a case for academically testing theoretical and academic information into practical implementations in terms of marketing and web development.
Background
Disseminating people through marketing and potential endorsement of the potential features and effectiveness the products provide could attract the attention of the people that are intending to purchase the product. Advertisements could be understood as a medium of reaching out to customers through attractive means (Mustafiz et al. 2021). Though marketing is not only restricted to endorsements, the use of informative elaboration of the effectiveness of the marketed product could increase attracting attention. Digital media and online platforms are capable of prompting the effectiveness of marketing the products. User-friendliness is one of the most essential elements for online platforms for expanding the market and gaining attention towards efficient and attractive marketing. Several local regionally operating e-commerce apps and web platforms such as Daraz and Krave Mart are some of the more local and regional examples against international platforms for marketing goods and services through the internet (Shehmir et al. 2024). Additionally, social media platforms such as Facebook have also grown as potentially attractive platforms for retailers and vendors to mark and sell their products.
Market web applications are capable of expanding on effective means for increasing the efficiency of decision-making and presentation of products and services. Marketing through web platforms has been enabling potential buyers with necessary information and feedback on the performance of the commodity, and this has been expanding through e-commerce. Platforms and sellers such as Amazon and Alibaba are some of the most popular examples (Manikanta, 2022). Increased use of related web tools such as artificial intelligence and machine learning (AIML) has been gaining popularity in terms of easing the development of both web app platform activities and the decision-making activities of organisations.
Multiple retailing and vendor companies and enterprises have been looking into the opportunity of using web applications and other related online platforms for marketing and retailing their products to their prospective customers. The development or collaboration of companies and e-commerce as a platform for retailing and marketing products for sale has expanded from a trend to a potential necessity. Companies such as La BELLE Fashions have also entered the necessary trend of adopting to e-commerce website for marketing products for sale (Owino 2020). This trend is affecting several companies from different sectors to eventually adopt the practice of either collaborating with larger e-commerce platforms or developing their websites for marketing their products.
A market web application needs to be developed to ensure efficient measures and implementations that can support customers and their interaction with an online platform. The use of web applications is also effective in connecting customers with companies through online platforms that act as a marketplace. The online marketplace is one of the more popularly used models, with around 7% reported uses (Schmuck, 2021). Additionally, online marketplaces are evidently varied and potentially becoming more and more accessible as a mode for engaging customers through online platforms. The backend of web applications manages product data “processed by user and administrator” and right to data access authorisation of users, while the frontend web app “displays product data information” already processed and the product data is visible to the interested people looking for the products (Devianto and Dwiasnati, 2021). Backend and Frontend features to web applications are both connected with the nature of website features that these market web app platforms are inclined to deliver to the client or customers.
Figure 1: Rate of implemented Online Business Models (Source: Schmuck, 2021)
Customer behaviour is one of the more concerning issues and prospects that are managed for not only understanding but also expanding the potential of increasing interactivity of the firms and customers to influence the marketing of products and purchasing decision-making. There are certain aspects such as information, strategic pricing, customer satisfaction and so on that could influence consumer behaviour and decision-making (Chou et al. 2020). Expanding and penetrating a market and target population through web platform use also requires understanding the need for a user-friendly interface and features that the app needs to support. Web traffic through accessing the internet from mobile devices has increased exponentially in the past few years from 31.16% in the first quarter of 2015 to 54.67% in the fourth quarter of 2023 (Ceci, 2024). Interaction with customers through online platforms is gaining increasing popularity, and understanding the nature and direction of this online engagement traffic is also important.
Market apps have been gaining momentum in terms of being functional platforms that allow people to consider products and services through online platforms that guide their purchasing decisions. The growth of platform-based market apps has been increasing in the past few years, with some of the very notable examples including AliExpress and eBay (Tolstoy et al. 2022). Several companies are opting for the development of digital marketing methods, and web applications are one of the most successful methods yet. The increase in internet usage and accessibility has built opportunities for companies and organisations to successfully tap into newer consumers and shape their purchasing decisions.
Figure 2: Website traffic on mobile accounts (Source: Ceci, 2024)
Web development has rapidly gained momentum in the past few years, with the advent and rapid spread of internet accessibility and the high popularity of these platforms for being scalable as scalability could influence the reach of websites. Django, as a web framework and using Python as the programming language, results to be very scalable web development tools capable of impacting effective web development (Patkar et al. 2022). Additionally, the use of online scraping, also known as web scraping techniques further enhances databases to support scalable and flexible data facilitation through storing large quantities of information.
Tools and Technologies
1. Programming Languages
The project will use Python JavaScript, HTML and CSS as the effectively implemented programming languages for the web development process for the “In the Market” web app. These programming languages are efficient for functional and attractive web development.
2. Web Frameworks
The project will use the Django web framework for the development of the “In the Market” web application. Additionally, Django is compatible with Python with an increasing focus on simple and flexible web development.
Design and Implementation
The web app, “In the Market Web Application” (IMWA) will be designed as an online marketplace solution for consumers based on features including real-time updated data-based online showcasing of high-priced products for the customers through informative display of metrics, prices and description of features. The web design and implementation will include the following implementations. Python is used as a programming language in terms of performing certain functions such as “scientific modelling” while HTML, CSS and JavaScript are effective for front-end designing (Farshidi et al. 2021). Python is used as the programming language of Django as a web development framework that includes MySQL as one of the databases, Bootstrap as a frontend web framework for CSS framework and HTML styling, Docker can operate on cloud and multiplatform (Hoang and Long, 2023). These technological implementations are effective for scientific, interactive and expansive web platforms.
The design and implementation of this app are meant to be effective and compatible for use on different platforms, and OS and with cloud storage and platform accessibility for flexible reach and scalability with assisting in microservices. Cloud storage acts as a scalable measure for large data management and resource storage, Docker assists in streamlining development procedures and enabling scalable web services and MongoDB can be used for database integration within microservice architecture that provides scalability and flexibility (Kumar and Hooda, 2023). Django is used for “backend web application” development “based on Python” and targets “simplicity, flexibility, reliability and scalability” for web development (Bakshi et al. 2020). These web tools and technologies are all compatible and befitting for being used as web development instruments for a user-friendly, large database-focused app.
Future Insights – AI Integration and Real-Time Data Expansion
The project will hold a varied range of prospective futuristic insights concerning web development and access to effective and friendly platforms for engaging customers at online platforms such as the marketplace. For instance, developing IMWA using web technology and tools such as cloud computing, data science and analytics among other computing features will include opportunities for AI and algorithmic integration for user preference-based sorting solutions. AI is capable of letting companies forecast consumer behaviour and aid in decision-making with the increasing use of online shopping platforms (Bag et al. 2022). This includes one of the potential aspects to further explore the development of automated and user-oriented online showcasing as a web app marketplace for customers to make informed purchasing decisions.
Additionally, the development of IMWA as a market web app includes enhancing customer experience, market reach and expansion for the application as a platform for showcasing high-priced products being marketed for sale by multiple firms and businesses. The use of digital technology is capable of enhancing customer engagement through facilitating notable customer experience (Gupta et al. 2020). The project will also be facilitating the future insightful aspect of impacting the evaluation and data analytic development on understanding customer behaviour further influencing the future progress of IMWA as a market web app.
Literature Review of Real-Time Data Applications in Consumer Decision-Making
The market web application has transformed their international process with the customer with the market while enabling the decision-making process and streamlined inquiry. The rise of the commerce platform and specialised platform for real estate has immense potential for market space digital solutions. This platform grasps data analytics and algorithms to provide users with a personalised experience while enriching customer engagement and satisfaction. The new advancements in the technology field have enabled businesses and individuals to collect a large amount of data, whether structured or unstructured, from various sources (Shahid and Sheikh, 2021). Scalability is another vital area for the web application as it helps ensure that the whole system can easily handle the load without any type of compromise in performance. Customers with an accessible market web app can use it as a platform for simplified, user-friendly, and efficient searching and decision-making before making important purchases.
Django, a high-level Python web framework, is known for its security and scalability features, which make it a preferred choice for applications in the developing market. It helps to build security measures like protection against SQL injection, cross-site forgery requests, and cross-site scripting, which also helps safeguard user data. The growth in digitisation of commercial and social life created an unprecedented number of digital traces of firm behaviour and the consumer (Boegershausen et al. 2022). The technique of data scraping is forming an updated dataset, which helps inform the customer about the features of the products, market trends, and pricing. This type of technique also involves extracting data from different sources to provide a real-time update on market conditions. Up-to-date information influences purchasing decisions, as consumers mainly rely on current data to compare and make informed choices.
Continuous growth and feature updates are important dynamics that maintain the relevance and efficiency of the market application. The user-friendly and interactive interface is important for achieving success in the market of web applications. Development of web applications are essentially beneficial as they are capable of being run in different types of OS, function using the “device’s browser” and implement “a straightforward URL” among other effective functional benefits (Dutonde et al. 2022). A well-designed interface helps enhance the user experience and encourages the user to sleep more often on the platform. Data is important for organisations and businesses as it assists in the process of decision-making, and nowadays, the maximum number of data is available on the Internet (Khder, 2021). Market web application development like “In The Market” includes grasping advanced technologies to create a user-friendly, scalable, and secure platform.
Dataset and use of input data are potentially effective for developing web applications that are meant to assist users to interact and gather useful information. The use of databases could be assisted with the help of automation and analytics tools for understanding and evaluating interactions of users with web application platforms (Ableitner et al. 2020). The potential capacity to impact the accessibility and use of platforms is capable of improving the opportunity for both the customers and the businesses in concerned markets. Databases are supposed to be simple to manage and handle (Rahman et al. 2022). In addition to that, accessibility should also be essentially supportive, particularly for customers to be able to access the platforms through their devices.
This can be done by tracking customer engagement with the website can aid in building traffic and engagement, with the help of certain tools such as web scraping and web development. Django is an effective framework for the development of e-commerce platforms (Abao et al. 2020). Web development frameworks often include a server side that accounts for the backend web and a client-side for the frontend web (Rabcan et al. 2023). Django uses Python as its programming language and is a quick high-quality code generation and transparent writing solution for server frameworks that are more focused on developing simplified pages yet efficient enough to develop a platform for working with clients of businesses.
Market web applications act as platforms for multiple businesses to interact with customers based on their preferences through an engaging platform, and using efficient web development tools is just as essential for engaging through customer behaviour assessments. Web scraping could be understood as technology tools capable of handling multiple aspects including consistency in effective and easy task performance, low maintenance, cost, targeted advertising, pricing data insights and so on (Khder, 2021). Apps can be considered as an “ideal platform” for the development of “real-time insights and context-driven value creation” along with information sharing for companies to share feedback from customers, potentially gaining a competitive advantage (Stocchi et al. 2022). Additionally, the capability to provide the customer’s view of market dynamics, and pricing insights, and being able to organise through evaluating competitor practices, and public opinion could further add to enhanced customer experience.
This is essentially necessary for choosing efficient and functional programming methods that are capable of impacting the development of websites and web applications in a proficient manner. Several large and successful companies, programs and website services such as Google, IBM, Spotify, Amazon, YouTube, Instagram, Dropbox, Facebook and so on use Python as their programming language (Gupta, 2022). Python is a programming language that is highly successful and used in the Django web development framework. Django is one of the efficient technology tools and frameworks capable of impacting web development to be a simpler and more rapid process to launch web development projects in a shorter time (Bakshi et al. 2020). These instruments are capable of assisting with the efficient web development of a market web app such as IMWA.
Challenges and Opportunities
Challenges
The scalability and technical complexity are in the development of a market web application to ensure its scalability and manage technical complexity. As the base on the user grows, the application has to handle the increased rate of traffic without any type of degradation within the performance. Implementation of robust database management, caching mechanisms, and efficient lead balancing is important for addressing different challenges. IoT has different characteristics of traffic; the traffic generated in IoT networks mainly depends on the application (Pekar et al., 2020). Integration of data from different sources by using the process of scraping helps introduce the inconsistencies technique of data processing to maintain accuracy.
Security is a major concern for the global market of web applications due to the sensitive nature of user data. IoT systems have transitioned from facilitating and secure communication amongst devices to security-based intelligence while enabling a secure system through the DL/ML methods (Malhotra et al. 2021). Data protection is ensured by encryption, and regular security audits and securing the authentic mechanism is crucial. To ensure the prevalence of cyber threats, there is a continuous necessity to monitor and update the security protocol to protect against different potential breaches.
Opportunities
Machine Learning (ML) and Artificial Intelligence (AI) present a significant opportunity to help enhance the market of web applications. Through analysing user preferences and behaviours, AI provides personalised recommendations that help improve search accuracy. The ML algorithm actively optimises the data processing and scraping while ensuring that the application remains updated and follows the latest trends in the market. AI is a fast-developing field in which applications ranging from learning systems to diagnosing diseases are included (Zhang et al. 2021). The market web application has the potential to create a global audience for breaking the different forms of geographical barriers.
Incorporating innovative features like augmented reality (AR) for blockchain, virtual product tours, and customer super chatbots to secure transactions significantly enhances the user experience. AR is a technology that overlays different forms of digital information, like sounds, texts, and images, in environments of the real world (Ahmed, 2022). This form of technology also helps differentiate the application from competitors while providing a unique user value. This system can open up opportunities for growth and increase the adoption of the user.
Project Plan
Figure 3: Project Plan for Dissertation (Gantt Chart), (Source: Self-developed)
The above Gantt chart indicates the time-bound activities that are associated with the development of this dissertation and web app development. As seen above, certain activities such as programming, refining coding and beta-testing the web app are interconnected. Data collection and analysis of the findings regarding recognising the effectiveness and risks of the project about the research objectives and hypothesis are dependent on each other.
Conclusion
The proposed web market application, “In the Market”, focuses on bringing out the revised, which helps the consumer to engage in a different significant for purchase by providing a user-friendly, secure and scalable platform. Through the data-driven insight, different personalised recommendations and improvements are suggested for the application’s continued growth. It also enhances the user experience and streamlines the decision-making process. The challenges like user engagement, technical complexity, and security are addressed, and the opportunities of grasping AI to expose the market reach and connect with the different innovative features help present a more approachable and better-performable outlook. This platform leverages data analytics and algorithms to provide users with a personalised experience while enriching customer engagement and satisfaction.
Focusing on the different aspects of “In the Market” helps to establish a tool for the leader and the consumers of the space of the market web application. The market web app user experience through preference-based product sorting, keyword and image navigation with regularly updated descriptions and sale details. The web app “In the Market” can also help expand user interactivity and improve the experience with several online marketspace through a data-driven platform meant to assist customers with informed purchasing decisions. Scraping methods can help in building updated datasets on costs, statistical performance, and market demand. Scalability is the web application that helps ensure that the whole system can easily handle the load without any compromise in performance.
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