AI Thesis Coach provides personalized, AI-driven feedback on academic papers, specifically tailored to the guidelines of universities like HSLU and ETH. The platform enables students to receive actionable insights in under ten minutes, significantly reducing the time and subjectivity associated with traditional proofreading methods.
Funding
Funding not disclosed
Founders
Product
Problem
Students often struggle with the complexities of academic writing, facing challenges in areas such as argumentation structure, citation accuracy, logical consistency, and adherence to university-specific guidelines. Traditional proofreading methods can be time-consuming, subjective, and may not provide comprehensive feedback on all critical aspects of a thesis or research paper.
Solution
AI Thesis Coach is an AI-powered platform designed to provide students with personalized feedback on their academic papers, ensuring adherence to academic standards and university guidelines. The platform analyzes various aspects of a paper, including argumentation structure, citation style, logical errors, and consistency, delivering actionable insights in minutes. By automating the review process and offering targeted suggestions for improvement, AI Thesis Coach helps students refine their work, address weaknesses, and enhance the overall quality of their submissions. The service also assists with time management by structuring remaining tasks into a to-do list and predicting potential defense questions to aid in preparation.
Target Audience
The primary target audience includes university students and academic researchers who are writing theses, dissertations, research papers, or other scholarly articles and need assistance with refining their writing and ensuring compliance with academic standards.
Features
- AI-driven analysis of academic papers, providing feedback on abstract, citations, structure, methodology, and inclusivity
- Consistency Check: Reviews the consistency of the text to ensure arguments flow smoothly and claims are well-supported
- Logical Error Check: Identifies unclear, contradictory, or flawed arguments and offers suggestions for improvement
- Cover Page Check: Verifies the completeness of information on the cover page
- Chapter Order Check: Assesses the logical sequence of chapters and suggests rearrangements to improve content flow
- Automated to-do list generation based on feedback and submission date
- Defense trainer that predicts likely defense questions, records answers, and provides feedback