WonderWoods Online Furniture Website

WonderWoods Online Furniture Website

Tilak Jaju

Department of Computer Applications, G H Raisoni University , Amravati

Tilakjaju07@gmail.com

Dhairya Maraskolhe

Department of Computer Applications, G H Raisoni University , Amravati Dhairyamaraskolhe5@gmail.com

Suyash Bagde

Department of Computer Applications, G H Raisoni University , Amravati

Suyashbagde186@gmail.com

Sanskar Upadhyay

Department of Computer Applications, G H Raisoni University , Amravati

Sanskarupadhyay15@gmail.com

Prof. Rutika Gahlod

Department of Computer Applications, G H Raisoni University , Amravati

Received on: 14 May ,2024          Revised on: 04 June ,2024          Published on: 27 June ,2024

Abstract:

The proliferation of digital platforms and the exponential growth of data have led to an overwhelming abundance of information, necessitating

innovative solutions to assist individuals in navigating this landscape. In response to this challenge, advice generator applications have emerged as a promising tool for delivering personalized recommendations and guidance tailored to the unique needs and preferences of users. Leveraging artificial intelligence and data analytics, these applications analyze user inputs and

contextual factors to generate actionable insights across various domains. This abstract provides an overview of the landscape of advice generator applications, exploring their functionalities, significance, and implications within the realm of research. Additionally, it highlights the role of these applications in

facilitating individual empowerment, enhancing decision-making processes, and informing future studies in fields such as psychology, behavioral economics, and artificial intelligence. Through a comprehensive analysis of advice

generator applications, this research paper seeks to contribute to a deeper understanding of their potential impact on society and the broader research landscape.

Keywords : Advice generator app gives the advice what to do or not by using this app.

DOI Link – https://doi.org/10.69758/PIZD5437

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