International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395-0056
Volume: 12 Issue: 11 | Nov 2025
p-ISSN: 2395-0072
www.irjet.net
DataLyze - An Agentic AI for Autonomous Data Analysis Vinutha D1, Arun Ramesh Chavan2, Deeksha G Nadig3, Pavan Raju Konkati4, Veena M R5 1
Assistant Professor, Information Science and Engineering, Bapuji Institute of Engineering and Technology, Davangere, affiliated to VTU Belagavi, Karnataka, India. 2 Bachelor of Engineering, Information Science and Engineering, Bapuji Institute of Engineering anTechnology, Karnataka, India 3 Bachelor of Engineering, Information Science and Engineering, Bapuji Institute of Engineering anTechnology, Karnataka, India 4 Bachelor of Engineering, Information Science and Engineering, Bapuji Institute of Engineering andTechnology, Karnataka, India 5 Bachelor of Engineering, Information Science and Engineering, Bapuji Institute of Engineering andTechnology, Karnataka, India --------------------------------------------------------------------------------***------------------------------------------------------------------------insights are produced, and the results are shown on a Abstract - Massive amounts of data are produced in modern dynamic dashboard. Furthermore, natural language querying businesses from a variety of sources, including real- time apps, is made possible via an AI-powered chatbot, offering a userCSV files, SQL databases, NoSQL systems, and XML streams. friendly interface. Conventional analytical tools mainly rely on laborious procedures, technical know-how, and manual preparation. Although they offer strong visualization capabilities, DataLyze presents an Agentic AI-based system that can ingest, traditional business intelligence (BI) products like Power BI, preprocess, analyze, and visualize data on its own without Tableau, and Qlik necessitate a great deal of manual human assistance in order to get around these restrictions. preprocessing, schema mapping, and scripting for advanced Developed with FastAPI, LangChain, React.js, and MongoDB, analytics. These tools are not made to find patterns, clean DataLyze uses an interactive dashboard and AI- powered data on their own, or suggest appropriate analytical models. chatbot to carry out automatic statistical analysis, insight Furthermore, the democratization of data analytics is limited generation, and real-time visualization. This work's major since non-technical consumers frequently struggle with tool objective is to democratize data analytics by doing away with complexity. There is a greater demand than ever for a the requirement for domain expertise or coding. The findings completely autonomous, intelligent platform that can manage show that DataLyze greatly speeds up processing, increases the whole analytics lifecycle on its own.Analytical workflows analytical precision, and improves accessibility for nonincluding data input, preprocessing, analysis, and visualization technical users. can be autonomously planned, reasoned, and carried out by agentic AI systems. Utilizing this advancement in technology, Key Words: LangChain, FastAPI, Chatbot, Agentic AI, DataLyze presents a next- generation autonomous analytics Autonomous Data Analysis, Data Visualization, Multiplatform intended to streamline and expedite data-driven format Ingestion, and Real-Time Dashboard. decision-making.
1. INTRODUCTION
1.1 Description
Decision-making in a variety of sectors, including retail, healthcare, banking, and transportation, now revolves around data. However, there are a number of difficulties in turning unprocessed data into insightful knowledge, including manual preprocessing, comprehension of schemas, choice of visualization, and statistical interpretation. For organized data, conventional BI programs like Tableau and Power BI are effective, however they lack: independent judgment, ingestion of multiple formats, natural language communication, flexibility in dealing with unstructured datasets. The suggested approach DataLyze employs Agentic Artificial Intelligence to automate the full analytics lifecycle
DataLyze creates a unified analytics platform by combining AI agents with contemporary web technologies. It transforms unprocessed inputs into useful insights by processing a variety of datasets, including CSV, JSON, SQL, XML, and MongoDB. Python (FastAPI), WebSockets for real- time updates, React.js for the user interface, and LangChain for agent execution are used inthe system's construction.By automating chart selection, statistical summaries, anomaly detection, and correlation analysis, the platform removes conventional analytical obstacles. The use of a chatbot makes analytics available to everyone by enabling non-technical users to ask queries like "Compare monthly sales trends" or "Show correlation heatmap."
in order to close these gaps. Datasets are automatically ingested, values are preprocessed, patterns are found,
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