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--- |
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title: TrueWrite Scan:- AI-Powered Writing Assistant |
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emoji: 🚀 |
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colorFrom: red |
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colorTo: pink |
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sdk: static |
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pinned: false |
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license: mit |
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--- |
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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 |
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📝 Advanced Grammar Checker: Utilizes language-tool-python and custom rule sets to detect syntax and stylistic errors. |
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🔍 Semantic Plagiarism Detection: Powered by sentence-transformers to detect paraphrased content, not just exact matches. |
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🤖 AI Content Detector: Implements Hugging Face Transformers to analyze perplexity and burstiness, identifying machine-generated text. |
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📄 Multi-Format Support: Parses text from .txt, .docx, and .pdf files. |
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🛠️ Tech Stack |
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Frontend |
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Framework: Next.js 13+ (React) |
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Styling: Tailwind CSS |
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Deployment: Cloudfare Pages |
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Backend |
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Framework: FastAPI (Python) |
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ML Libraries: PyTorch, Transformers, Scikit-learn, NumPy |
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Deployment: Hugging Face Spaces (Dockerized) |
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🏗️ Architecture & Deployment Strategy |
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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. |
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Backend: A custom Docker container running FastAPI. |
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Why Docker? To install System-level dependencies (OpenJDK 21 for Grammar check, build-essential for Auth). |
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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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