AI research proposal generator grounded on the literature
Start from a research topic, a research question, or both. Lit Mind Maps maps where the field agrees and disagrees, checks whether the gap is saturated, searches Semantic Scholar for core papers and intellectual lineage, runs a nearest-neighbour duplication test, profiles journals, and writes a structured proposal you can take to a supervisor.
What you get in each proposal package
1. Establish the gap
Topic debate map — where the literature agrees and disagrees.
Gap saturation — whether the area is crowded or genuinely under-researched.
2. Background literature
Core papers on your angle, plus reference chasing and forward citations on central works so you can write “building on X…” with recent responses.
3. Positioning / novelty
Duplication test against nearest-neighbour studies and similar-work recommendations so you can answer “hasn’t this been done?” before a reviewer asks.
4. Venue framing
Journal profile from the corpus (output volume in sample, Scimago quartile when available) to justify a target outlet.
Proposal structure we write
- Background & problem statement — informed by the topic debate map
- Literature gap — informed by saturation evidence
- Research questions & objectives — framed from your topic/question
- Contribution / novelty — backed by the duplication check
- Methodology — PICO / PRISMA-style scoping approach with key papers
- Significance — tied back to gap evidence
- Target venue — optional framing from journal profiles
How to start
In the workspace, open the Research proposal tab. Enter a topic (e.g. “automation adoption and port productivity”), a research question, or both. Generation usually takes a few minutes. Download Word (.docx) or open a print-ready PDF.
Looking for an IMRaD literature review instead? See the literature review tool (from $5).
Pricing
One research proposal: $20 / ₹2,000 (pay-per-proposal credit). Literature reviews remain separate: first report $5 / ₹500, unlimited pack $20 / ₹2,000.