International Journal of Scientific Research and Engineering Development

In the era of exponential data growth, transforming raw datasets into actionable insights remains a critical yet challenging task, particularly for users lacking technical expertise. Clarivo addresses this challenge through a unified platform that integrates autonomous data cleansing, natural language querying, and multifaceted data visualization within a privacy-centric, local-first architecture. By combining offline lightweight machine learning models with optional online Gemini AI services, Clarivo automates quality enhancement tasks such as missing value imputation, duplicate detection, and outlier identification while enabling intuitive conversational data exploration. Its interactive, Excel-like editing interface and AI-guided visualization recommendations facilitate efficient and accurate analytics without compromising data sovereignty. Empirical evaluation demonstrates Clarivo’s scalability, responsiveness, and insight accuracy, highlighting its potential to democratize advanced data analytics for diverse users across academic, business, and research domains.

Atharva Rahate, Sarthak Nandre, Sahil Pawase, Puja Rathod,"Clarivo: A Comprehensive AI Driven Local First Platform for Automated Data Cleaning, Conversational Analytics and Dynamic Visualization" International Journal of Scientific Research and Engineering Development, V9(3): Page(1526-1535) May-June 2026. ISSN: 2581-7175. www.ijsred.com. Published by Scientific and Academic Research Publishing.