This paper developed a system that functions as interactive assistance to RISC-V's ISA design and debugger using a more user-friendly desktop UI application.
This paper, therefore, proposes and discusses the design, implementation, and internal verification and test platform for a Reduced Instruction Set Code-V’s (RISC-V) Instruction Set Architecture (ISA), using an interactive desktop program for a 32-bit single-cycle processor. Due to some qualities of hardware, they can operate in areas where software programs and applications cannot be used whereas, these software programs that run on such hardware equally help in understanding how hardware operates. They are open-source-synthesizable hardware processors with minimal functionality that is ideal for current IoT applications involving simple sensors and actuator controls. The multivariate regression model used for intelligent hiring performs satisfactorily by yielding a R2 of around 0.9993.Īlthough the RISC-V ISA has not been around for long, it is a processor architecture that has been highlighted by many businesses and individuals for its low-cost and rapid pace of development. The contributions brought forth are providing a shortlist of the best-qualified freelancers for each project via Machine Learning technique, generating an automated invoice and payment as soon as an entrepreneur supplies a monetary figure when approving the deliverable of a project, and enabling freelancers to sign contracts electronically to comply with business terms on one centralised repository, unlike existing systems which do not support these 3 features together on the same platform. A web application was implemented to fulfil the objectives by using WAMP as a local development server, Visual Studio Code as a source code editor, and HTML, PHP, Python, SQL, JavaScript and CSS as programming languages along with Ajax for requests-handling functionalities, and already available APIs, and jQuery and Python libraries. Interviews, participant observation, interface analysis, workshop documents, research papers, books and articles were used to draw data about similar applications. Pertaining to the methodology, qualitative analysis was adopted.
This paper thereby aims to resolve the impediments of similar existing systems. Existing Freelancer Management Systems are not being adequately efficient, inconveniencing to a certain degree the freelance workforce, which comprises around 1.1 billion freelancers globally.
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