CT108-3-1 is a group Python assignment: a menu-driven system for a restaurant in Kuala Lumpur. Users log in with a username or email and a password with three attempts, then get a menu depending on their role — admin, manager, chef or customer — each with its own functions such as staff management, menu pricing, orders, ingredient requests, sales reports and feedback.
The brief requires lists, functions, modular design, symbolic constants and validation, with text files for data. Each member must present their own contribution, and missing the demonstration cuts the overall mark.
What we help with
Login and roles — Authentication with a three-attempt limit and menus routed by role.
Role functions — Staff, menu, order, ingredient, report and feedback features for each role.
Modular code — Functions, lists and symbolic constants used as the brief requires, with input validation.
Test data — Text files for users, menu and orders that let the demonstration run cleanly.
Documentation — A PDF with design, code explanation, screenshots, conclusion and APA references.
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.
Not sure if your work has plagiarism? Don't worry. Send it to us.
Tell us what you need checked and when it is due. Your document is checked without being stored in any student-paper repository, so the check never counts against your real submission. The reports come back with what each match means, not just a percentage.
Plagiarism report — The full similarity report on your assignment, proposal or chapter: every matched source listed, every flagged passage marked, and a plain read of which matches matter and which are your reference list doing its job.
AI report — The AI writing indicator read separately from similarity, because the two scores behave differently. If the flag looks like a detector artefact on work you wrote yourself, we tell you so, and what evidence answers it.
Thesis report — Similarity and AI reports for a full thesis or dissertation, run chapter by chapter so a problem in the literature review is found while you can still fix it, with each flagged passage explained for your supervisor.
Frequently asked questions
Can you prepare me for my part of the demo?
Yes. We walk through the code you will present so you can explain every function.
Do you provide the text data files?
Yes. The brief expects test data files, and we provide them with the program.
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.