Project Abstract

This project aims to develop a mobile application that addresses the unique human resource management (HRM) challenges faced by small and medium-sized enterprises (SMEs). SMEs often lack the resources and expertise to implement comprehensive HRM systems, leading to inefficiencies, compliance issues, and difficulty in attracting and retaining talent. The proposed mobile application will provide a user-friendly, cost-effective, and scalable solution to streamline various HR processes, enabling SMEs to optimize their workforce management and stay competitive in the market. The application will feature a modular design, allowing SMEs to customize and integrate the functionalities most relevant to their needs, such as employee onboarding, attendance tracking, payroll management, performance reviews, and employee self-service portals. By leveraging mobile technology, the application will empower employees to access and manage their HR-related information on-the-go, fostering greater engagement and productivity. One of the key innovations of this project is the incorporation of artificial intelligence (AI) and machine learning (ML) algorithms to enhance the application's capabilities. The AI/ML components will automate repetitive tasks, provide data-driven insights for decision-making, and offer predictive analytics to help SMEs anticipate and address workforce-related challenges. For example, the application could use ML models to analyze employee data and identify potential retention risks, enabling proactive interventions to retain top talent. Another important aspect of the project is the emphasis on compliance and security. The application will be designed to adhere to relevant labor laws and regulations, ensuring that SMEs remain compliant with employment practices. Additionally, the application will implement robust data security measures, such as encryption, access controls, and data backup solutions, to protect sensitive employee information. The project will involve a comprehensive user-centered design approach, engaging SMEs throughout the development process to ensure that the application meets their specific needs and pain points. This will include conducting user interviews, usability testing, and iterative design cycles to refine the application's features and user experience. The successful implementation of this project will have a significant impact on the SME landscape. By providing a tailored, affordable, and efficient HRM solution, the mobile application will empower SMEs to enhance their HR capabilities, streamline operations, and foster a more engaged and productive workforce. This, in turn, will contribute to the growth and competitiveness of SMEs, ultimately driving economic development and job creation. The project will be executed by a multidisciplinary team of software engineers, HR experts, and data scientists, ensuring the delivery of a robust and innovative solution. The team will collaborate closely with SMEs, industry associations, and relevant stakeholders to gather feedback, validate the application's features, and ensure a successful deployment and adoption. In conclusion, this project represents a timely and essential initiative to address the HRM challenges faced by SMEs. By leveraging mobile technology, AI/ML, and user-centric design, the proposed application will provide a transformative solution that strengthens the HR capabilities of SMEs, ultimately contributing to their overall success and the growth of the local and regional economies.

Project Overview