thesis-optimizer

thesis-optimizer

Intelligent academic thesis optimization system, designed specifically for master's theses in the computer science deep learning field. Provides three-dimensional collaborative optimization: reducing AI-writing risk features, lowering the plagiarism rate, and enhancing academic polishing. Adopts a two-tier document architecture (master overview + chapters) with explicit state tracking to achieve modular closed-loop optimization. Built-in Chinese academic writing risk patterns, vocabulary risk, and sentence-rhythm references. Strictly follows the principle of "minimal intervention and intra-sentence micro-adjustment," avoiding large AI-style rewrites and preserving the author's original research logic. Intelligent thesis optimization system for computer science deep learning master's theses. Provides three-dimensional optimization: AI-writing-risk reduction, plagiarism reduction, academic polishing. Uses two-tier document architecture (master + chapter) with explicit state tracking for modular closed-loop optimization. Uses writing-risk references and minimal intra-sentence restructuring to preserve the author's logic. Keywords: thesis-optimization, ai-detection, plagiarism, polishing, academic-writing, perplexity, burstiness