This AI Tool Will REVOLUTIONIZE Your Research Topic Search | Research Topic With Research Gap

Finding a credible research topic—and proving there’s room to improve it—often takes hours of reading and expert judgment. The core promise here is a faster workflow: use an AI tool, aana, to generate research-topic options, surface research gaps from related literature, and suggest methods for turning a rough idea into a workable proposal.

The process starts with feeding aana personal and academic context. After logging in with a Gmail ID, users enter their name, degree, and field of study. The example user specifies a major in “green solvents” and a minor focused on “am based ionic liquid as a solvent in organic synthesis,” so the tool can align suggestions with existing expertise.

Next comes topic input. aana offers three paths: (1) search for a new research topic, (2) incorporate supervisor suggestions, or (3) refine an existing topic. In the example, the user chooses supervisor suggestions related to the role of “metazol based ionic liquids as a solvents in organic synthesis.” After submitting details, aana returns multiple candidate research titles. The suggestions include options such as synthesizing and characterizing amsol-based ionic liquids as ecofriendly reaction solvents, investigating how amsol-based ionic liquids affect catalyzed organic reactions under microwave irradiation, and developing an amsol-based ionic liquid platform for catalyzed organic synthesis under flow conditions.

To narrow choices, the tool’s compare feature lets users evaluate two candidate topics side-by-side using literature-derived summaries. In the example comparison, both topics are judged as “up to the mark” because ionic liquids function as recyclable solvents in important organic reactions. The user then selects a topic that better matches their expertise and locks it using a “lock” feature, preventing the tool from recommending competing topics in the same domain.

The gap-finding step is quantified: aana provides a research-gap score (with “less number = more room for research”). The example shows a score of 18 out of 100, treated as a strong signal to proceed. It also generates methodology recommendations grounded in prior studies—such as using a quantitative approach to measure reaction rate and productivity by varying ionic-liquid concentration and reaction time under microwave irradiation in controlled lab settings.

If the topic needs sharpening, the refine feature expands dimensions while staying within the same domain. Example refinements include exploring azol-based ionic liquids as “environment friendly” solvents for green organic synthesis, or combining keywords to create a new, more targeted title (e.g., shifting from general solvent framing to specific reaction media or synthesis goals).

Finally, aana supports literature review. It can suggest related papers with clickable abstracts, allow users to curate a literature list, and show journal names as a quality check. For deeper analysis, the “literature Matrix” feature lets users upload up to 10 papers (up to 30 pages each) and view key elements—authors, theoretical framework, methodology, and implications—in a table format. The workflow ends with options to build and revise a research proposal, with a one-week paid plan described as low-cost (5 per week).