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AI English Learning Assistant is an interactive web application built with Streamlit, LangChain, and Google's Gemini API, designed to help users enhance their English skills. It provides features like Urdu Translations | Pronunciation Guides | Grammar Analysis | Vocabulary Insights | Personalized Corrections.

Organization files

a free python grammar checker 📝✅

أداة متطورة لتصحيح الأخطاء اللغوية والإملائية في النصوص العربية

A user-friendly, Python-based Markdown editor that leverages a locally hosted LLM (via Ollama right now) for simple text enhancements, proofreading, and rewriting.

This repository contains a collection of simple yet useful Python scripts built to improve daily productivity and streamline routine tasks. Each script is self-contained and focuses on a specific function, making it easy to understand, use, and extend.

Minimal Python FFI for the `harper-core` Grammar Checker library

Language server for text spell and grammar check with various tools.

Fluent Edge is an intelligent, real-time web application designed to help users improve their spoken English by analyzing live speech for transcription accuracy, grammar errors, and fluency quality. It combines speech recognition, punctuation restoration, grammar checking, and accuracy scoring in a seamless and interactive interface.

Поиск ошибок в тексте Ren'Py проектов

A simple NLTK-based grammar checker that checks for the correct use of “their” and “they’re.”

Improve the language of your paper before submission

AI agent to automatically check grammar and spelling on documentation files

A lightweight, cross-platform clipboard monitoring tool that corrects grammar using hotkey triggers. It silently watches your clipboard, improves your copied text using grammar correction logic (local or API-based), and updates your clipboard with the corrected version ready to paste.

Find simple grammar mistakes in scientific documents.

TexeT is the tool you need to take your interaction and content control to the next level.

A service to evaluate the quality and compliance of email communication between company employees and external customers. The service processes email threads (.eml format) and applies a flexible rules engine to audit them, providing detailed feedback with scoring and justifications.

The yfirlestur.is web application.

This project uses OpenAI's Whisper to take audio files and transcribe them to text. Then an open source LLM (Ollama and Mistral) are used to edit for grammar and flow. Finally .docx files are created with the edits.