title: TrueWrite Scan:- AI-Powered Writing Assistant
emoji: 🚀
colorFrom: red
colorTo: pink
sdk: static
pinned: false
license: mit
TrueWrite Scan is a full-stack AI application designed to enhance writing integrity. It integrates state-of-the-art NLP models to provide real-time Grammar Checking, Plagiarism Detection, and AI Content Classification.
🌟 Key Features 📝 Advanced Grammar Checker: Utilizes language-tool-python and custom rule sets to detect syntax and stylistic errors. 🔍 Semantic Plagiarism Detection: Powered by sentence-transformers to detect paraphrased content, not just exact matches. 🤖 AI Content Detector: Implements Hugging Face Transformers to analyze perplexity and burstiness, identifying machine-generated text. 📄 Multi-Format Support: Parses text from .txt, .docx, and .pdf files. 🛠️ Tech Stack Frontend Framework: Next.js 13+ (React) Styling: Tailwind CSS Deployment: Cloudfare Pages Backend Framework: FastAPI (Python) ML Libraries: PyTorch, Transformers, Scikit-learn, NumPy Deployment: Hugging Face Spaces (Dockerized) 🏗️ Architecture & Deployment Strategy Running heavy ML models (PyTorch + JVM for Grammar) requires significant RAM. I implemented a Split Deployment Strategy to optimize performance on free-tier infrastructure:
Frontend: Handles UI/UX and client-side logic. Backend: A custom Docker container running FastAPI. Why Docker? To install System-level dependencies (OpenJDK 21 for Grammar check, build-essential for Auth). Optimization: Configured to use CPU-optimized PyTorch builds to reduce slug size and memory footprint.
Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference