Large Language Model-Driven Dynamic Assessment of Grammatical Accuracy in English Language Learner Writing
Objective
The GrammarPro: AI-Powered Grammar Checking System is a web-based platform designed to automate the process of grammar checking and correction for English language content. The system integrates advanced AI capabilities with a user-friendly interface to provide comprehensive grammar analysis and real-time corrections. Users can submit text for grammar checking, and the system evaluates it using the Gemma2:2b language model running on a local server. The AI model analyzes the text for grammatical errors, spelling mistakes, punctuation issues, and sentence structure problems, providing detailed feedback and corrected versions.
Abstract
The GrammarPro:
AI-Powered Grammar Checking System is a web-based platform designed to automate
the process of grammar checking and correction for English language content.
The system integrates advanced AI capabilities with a user-friendly interface
to provide comprehensive grammar analysis and real-time corrections. Users can
submit text for grammar checking, and the system evaluates it using the Gemma2:2b
language model running on a local server. The AI model analyzes the text for
grammatical errors, spelling mistakes, punctuation issues, and sentence
structure problems, providing detailed feedback and corrected versions.
Keywords: Grammar Checking, AI-Powered Correction, Real-time Feedback, Writing Improvement, Language Processing, Gemma2 Model, Grammar Scoring, Text Analysis, Error Detection, Writing Enhancement.
NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.
Block Diagram
Specifications
HARDWARE REQUIREMENTS:
· Processor - I3/Intel Processor
· RAM - 4GB (min)
· Hard Disk - 160GB
SOFTWARE SYSTEM CONFIGURATION:
Ø Operating System: Windows 7/8/10 or Linux
Ø Server-Side Script: Spring boot , Spring AI
Ø Programming Language: Java
Ø IDE/Workbench: VS Code, IntelliJ
Ø LLM Model : Gemma2:2b (local deployment)
Ø Database: MySQL
Ø Client Side: React.js
Paper Publishing
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