Home / Current Issue / Paper 1716056
AI-Powered Data Insight and Visualization Web Platform with Automated Anomaly Detection
Subject area: Science,Engineering and Technology · Area of research: Artificial Intelligence and Data Science
DOI: https://doi.org/10.64388/IREV9I10-1716056
Abstract
AI-Powered Data Insight and Visualization Web Platform is a web-based system developed to simplify data analysis for non-technical users. In today’s data-driven environment, analyzing datasets requires technical skills and manual effort, making it difficult for beginners to understand and interpret data effectively. The proposed system addresses this problem by providing an automated platform that performs data preprocessing, statistical analysis, visualization, and anomaly detection. The system allows users to upload datasets in CSV or Excel format and automatically processes the data by handling missing values, removing duplicate records, and identifying column data types. It calculates statistical measures such as mean, median, mode, minimum, maximum, and standard deviation to summarize the dataset. The platform generates visualizations including bar charts, line charts, and pie charts to help users identify patterns and trends. An anomaly detection module based on the Interquartile Range (IQR) method is used to detect unusual data values. Additionally, an AI-based chat assistant enables users to interact with the dataset using natural language queries. The system also supports automated report generation, making data analysis simple, efficient, and user-friendly.
How to cite this paper
@article{1716056,
author = {Tharun S, Manoj Kumar S, Sanjay Kumar R, Chowthri P, Vallarasu P},
title = {AI-Powered Data Insight and Visualization Web Platform with Automated Anomaly Detection},
journal = {Iconic Research And Engineering Journals},
year = {2026},
volume = {9},
number = {10},
pages = {725-726},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1716056.pdf},
abstract = {AI-Powered Data Insight and Visualization Web Platform is a web-based system developed to simplify data analysis for non-technical users. In today’s data-driven environment, analyzing datasets requires technical skills and manual effort, making it difficult for beginners to understand and interpret data effectively. The proposed system addresses this problem by providing an automated platform that performs data preprocessing, statistical analysis, visualization, and anomaly detection. The system allows users to upload datasets in CSV or Excel format and automatically processes the data by handling missing values, removing duplicate records, and identifying column data types. It calculates statistical measures such as mean, median, mode, minimum, maximum, and standard deviation to summarize the dataset. The platform generates visualizations including bar charts, line charts, and pie charts to help users identify patterns and trends. An anomaly detection module based on the Interquartile Range (IQR) method is used to detect unusual data values. Additionally, an AI-based chat assistant enables users to interact with the dataset using natural language queries. The system also supports automated report generation, making data analysis simple, efficient, and user-friendly.},
month = {April},
doi = {https://doi.org/10.64388/IREV9I10-1716056}
}