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| title: TrueWrite Scan:- AI-Powered Writing Assistant |
| emoji: 🚀 |
| colorFrom: red |
| colorTo: pink |
| sdk: static |
| pinned: false |
| license: mit |
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| 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. |
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| 🌟 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: |
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| 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. |
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| Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference |
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