• Adhiraj Arvind Pawar
• Atharv Barge
• Umesh Bhoiwade
• Mananki Kasture

The rapid proliferation of data across various domains has necessitated the development of intelligent systems that can effectively manage, interpret, and extract meaningful insights from vast amounts of information. This paper presents A.R.I.A (AI-powered Research and Interpretation Assistant), an innovative platform that integrates advanced Artificial Intelligence technologies, including Natural Language Processing (NLP) and Optical Character Recognition (OCR). A.R.I.A is designed to facilitate efficient data extraction, analysis, and interpretation from diverse file formats, thereby enhancing the research process for users. By leveraging state-of-the-art methodologies, A.R.I.A enables users to query and interact with data in a conversational manner, significantly reducing the time and effort required for research tasks. This paper outlines the system's design, methodology, and implementation, highlighting its potential to revolutionize information access and empower users with enhanced decision-making capabilities. Preliminary results demonstrate A.R.I.A’s effectiveness in improving research efficiency and user engagement, paving the way for future advancements in AI-driven research assistance.

Artificial Intelligence, Natural Language Processing (NLP), Optical Character Recognition (OCR), convolutional neural networks, Named Entity Recognition (NER).

"ARIA (AI-powered Research and Interpretation Assistant) ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 1, page no.e299-e303, January-2025, Available :http://www.jetir.org/papers/JETIR2501439.pdf

"ARIA (AI-powered Research and Interpretation Assistant) ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 1, page no. ppe299-e303, January-2025, Available at : http://www.jetir.org/papers/JETIR2501439.pdf