smart thesis generator

The problem

Writing academic papers often results in drafts that sound like generic AI templates, full of fabricated citations and repetitive phrasing. Manually maintaining word counts, citation consistency, and professional Word formatting is a time-intensive process prone to human error.

What it does

• Searches the Semantic Scholar API to find and integrate real, verifiable academic literature.
• Generates original content section-by-section to reach specific targets up to 8000 words.
• Enforces strict writing rules to avoid AI clichés, varied sentence structures, and banned transition words.
• Outputs a correctly formatted .docx file with standard academic margins, styles, and page numbers.
• Produces three-line academic tables and detailed figure descriptions without using Markdown placeholders.

Frameworks & tools

Python, python-docx, Semantic Scholar API.

Why this beats prompting it yourself

Standard LLM prompts often hallucinate citations and fail to maintain formatting across long documents. This skill uses dedicated Python scripts for real-world academic searching, automated word count verification, and native Word document generation to ensure the final output is structurally sound and verifiable.

Use cases

• Drafting comprehensive literature reviews for specific scientific fields.
• Generating empirical study frameworks with methodology and data analysis sections.
• Building preliminary thesis drafts with bilingual abstracts and keyword support.
• Creating long-form research reports that require strict APA, MLA, or GB/T formatting.

Known limitations

Final documents require manual verification of data in tables. Plagiarism and AI detection rates are estimates and not a guarantee of passing formal institutional checks.