Topics + Literature Review Structure
Thesis Assistant helps a final-year agriculture student move from a field of interest to a real, structured starting point: candidate thesis topics, guidance chapter by chapter, and research-gap framing, generated from the student's own answers about their field, degree level, specialization, and country.
The five-chapter thesis structure it follows and the regional research-resource database it draws on are real, sourced, disclosed facts shown in their own clearly labeled sections — never blended into the AI-generated topic suggestions as if they were the same kind of content.
It is explicitly instructed never to invent specific citations, paper titles, or authors, and the screen adds no citation claims of its own beyond whatever the backend actually returns.
A student who knows they want to work in soil science but has no specific thesis topic yet can describe their interest and degree level and get back real candidate topics and a structure to start drafting a literature review, without inventing sources to fill gaps.