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How to reduce the AI score in a B.Tech project report

Find the exact lines that read as AI, rewrite them with the specific details of your own project, and check again. Reports usually get flagged in the introduction, literature survey and conclusion, not in the parts about what you actually built.

Written by Adithyan, a student who builds PaperCheck. Last updated 31 October 2026.

Where the score comes from

Project reports have a lot of standard text: what machine learning is, why IoT matters, what the literature says. That generic prose is what detectors flag. The chapters about your own circuit, code, dataset and results usually score low.

Steps that work

  1. Run the full report through a checker that marks single lines.
  2. Start with the chapters that have the most flagged lines.
  3. Replace general claims with your numbers: accuracy, dataset size, sensor model, test conditions.
  4. Vary sentence length, and cut stock words like moreover, crucial, leverage and delve.
  5. Check again and repeat until the score is where you need it.

If you are short on time

PaperCheck's AI reducer rewrites the flagged sentences of the whole report for Rs 30, keeping every number, citation and technical term, and checks the result again. Read the changed sentences before you submit.

What not to do

Synonym spinners swap technical terms and break meaning, and examiners notice. Do not change numbers, equations, code or citations.

Common questions

What AI score is acceptable in a B.Tech report?

It depends on your college. Many treat under 20% on Turnitin as low, but ask your guide for the rule that applies to you.

Which chapters get flagged most?

Usually the introduction, literature survey and conclusion, because they have the most general writing.

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PaperCheck is not affiliated with Turnitin, GPTZero, papercheck.in or papercheck.ai. Scores from any detector are estimates, not proof.