International Journal of Innovative Research in Computer and Communication Engineering
ISSN Approved Journal | Impact factor: 8.771 | ESTD: 2013 | Follows UGC CARE Journal Norms and Guidelines
| Monthly, Peer-Reviewed, Refereed, Scholarly, Multidisciplinary and Open Access Journal | High Impact Factor 8.771 (Calculated by Google Scholar and Semantic Scholar | AI-Powered Research Tool | Indexing in all Major Database & Metadata, Citation Generator | Digital Object Identifier (DOI) |
| TITLE | DataLenz: Secure AI-Powered Data Analyzer Web Application |
|---|---|
| ABSTRACT | The rapid proliferation of data across industry and research domains has created an urgent need for accessible, intelligent data analysis tools. Most existing platforms demand significant technical expertise, creating barriers for non-technical stakeholders. This paper presents DataLenz, a secure AI-powered web-based data analyzer that enables users to upload datasets in CSV, JSON, or Excel formats and automatically generate actionable insights through intelligent statistical summarization, rule-based automated visualization, and large language model (LLM)-driven natural language querying. The system employs a React and Tailwind CSS responsive frontend integrated with optimized backend logic for column classification, dynamic chart generation, and conversational query processing. Experimental evaluation across datasets of varying sizes demonstrates that DataLenz achieves full processing and visualization within 1.2 seconds for datasets under 10,000 rows, maintains 93% visualization type accuracy against expert selections, and achieves a mean AI query relevance score of 4.1/5.0 on expert evaluation. The proposed system is compared against industry tools including Tableau, Power BI, and Google Data Studio, demonstrating superior accessibility and automation. |
| AUTHOR | GOWTHAM S, GODWIN AUGUSTINE PS, SIMON AKASH S, AKASHRAJ J, MOHANAPRIYA T Department of Artificial Intelligence and Data Science, Christ the King Engineering College, Coimbatore, Tamil Nadu, India Project Guide, Department of Artificial Intelligence and Data Science, Christ the King Engineering College, Coimbatore, Tamil Nadu, India |
| VOLUME | 184 |
| DOI | DOI: 10.15680/IJIRCCE.2026.1405033 |
| pdf/33_DataLenz Secure AI-Powered Data Analyzer Web Application.pdf | |
| KEYWORDS | |
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