Abstract
Abstract: Artificial intelligence (AI) and Machine Learning (ML) is one of today's compelling and promising technologies that profoundly affects nearly all areas of business while continuously transforming people's lives. Workforce management is not an exception to the concept, since AI is advantageously indiscriminately thriving in all industries. By recommending programmes to users based on their preferences and needs, app recommendation systems play a crucial role in this regard. The objective of this project was to create an Android app recommendation system based on machine learning for skill matching. Recommender systems are efficient tools for filtering online information, which is widespread owing to the changing habits of computer users, personalization trends, and emerging access to the internet. Time, effort, and tedious everyday duties will be automated, freeing up human attention for more crucial issues related to improving performance and development. It would be possible for systems to function similarly to the human brain in terms of data analysis and the capacity to build an effective systematic engagement to process the data in a fair, efficient, and quick manner if they acquired automation, cognitive insights, and cognitive engagement during the recruitment process.
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