Database modules are graded on two things that don't always show up together in a rushed submission: a schema that's actually normalised, and SQL that runs against it without silent errors.
We work through the ER model, normalisation and Oracle SQL implementation side by side, so the schema you hand in and the queries you demo are the same database.
What we help with
ER modelling — Entity-relationship diagrams built from your case study's actual data requirements.
Normalisation — Schemas taken to the normal form your brief specifies, with the reasoning shown.
Oracle SQL — DDL, DML and query scripts tested against the schema before submission.
Documentation — Design justification and data dictionary formatted to your module's report structure.
Plagiarism and AI reports, issued with the work
Similarity and AI writing indicator reports come with every delivery, and we run them on work you wrote yourself too. You get the reports and the explanation, never a bare figure.
Similarity report, not a number — Every draft is checked before it reaches you and the full report is issued with the file — matched sources listed, each flagged passage identified. A percentage on its own tells you almost nothing about what a reader will conclude.
AI writing indicator read — Where your institution's configuration produces one, the AI indicator is reported alongside similarity and read back to you. The two scores are separate, they behave differently, and a low similarity figure does not mean you are clear on the other.
Every flagged passage explained — Each match classified — quoted material, a standard definition your discipline cannot avoid, a bibliographic match, or text that genuinely needs rewriting. The explanation is what lets you defend the work if you are asked about it.
Checks on work you wrote yourself — Send a draft we had no part in writing and you get the same pack back: both reports, the flagged passages explained, and an honest read on whether an AI flag looks like a detector artefact. This is a service in its own right.
Run while you can still act on it — Pre-submission checks are worth having early, chapter by chapter on long documents. A report that arrives the night before a deadline tells you about a problem you no longer have time to fix.
No guaranteed percentage — We do not promise a similarity figure or an AI score, and we will not rewrite work solely to move a detector. Any service quoting you a guaranteed number is describing an output it does not control.
We are an independent academic support service, not a university and not a reseller of any detection platform. We run checks and issue the resulting reports; we do not sell access to a detection tool, and we do not sell a way around one.
Frequently asked questions
Do the SQL scripts actually run, or is this just a written report?
Both — we test scripts against the schema before sending them, so what you submit runs as described.
Can you help me fix normalisation issues in a schema I've already built?
Yes — send your current ER diagram or schema and we'll identify what's not yet in the required normal form.
Is your service confidential?
100%. Your identity and academic work stay completely private and are never shared with your college or anyone else. We use secure, encrypted communication.
How do I get a quote?
Message us on WhatsApp at +977 9768768340 with your assignment brief and deadline, and we'll reply with a transparent quote — usually within a couple of hours.