Authors: Gaurav Kankuse, Jay Deshmukh, Om Borse, N. D. Dhamale
Abstract: This project focuses on building a smart, easy- to-use Grammatical Error Correction (GEC) system for a native Indic language, specifically Marathi. The system leverages modern transformer-based AI models, such as IndicBERT and mBART, which are fine-tuned using local language data. The primary objective of the system is to identify and correct grammatical errors in sentences in real time. The proposed solution includes a simple web-based tool where users can input text, view suggested corrections along with brief explanations, and choose which changes to accept or reject. The study outlines the system design to automated text analysis. Preliminary observations indicate the feasibility of the proposed approach, with future work focusing on extensive experimental validation.