Flutter backend, fixed on a call
A Flutter app's backend was fixed live over a call. The client's note afterwards: “happy client”.
Programming & Data Assignment Support
Programming & data assignments, built to your spec.
Python, Java, web apps, SQL, machine learning, networking and final-year projects — scoped in writing, tested before delivery, and handed over as a repo you can run and explain.
- Tested before delivery
- Fixed quote in writing
- Walkthrough on request
- Same team as Assignment Byte
PythonJavaCC++JavaScriptTypeScriptReactNode.jsDjangoFlaskLaravelFlutterKotlinSQLPostgreSQLMySQLMongoDBPandasscikit-learnTensorFlowRMATLABSimulinkArduinoESP32Packet TracerDockerAWSGitHub ActionsLinux
// 30 services, 7 areas
Whatever the module, the spec is the starting point.
Coursework in a language, a system to build, a dataset to analyse, or code that almost works. Pick the area closest to your brief.
languages.py
Languages
Python, Java, C and C++ coursework, plus the algorithms and data-structures modules that sit underneath all of them.
4 services →web_apps.tsxWeb & Apps
Frontend builds, backends and REST APIs, full-stack projects and mobile apps — delivered as a repo that installs and runs from a README.
4 services →data.sqlData
Database design, SQL, pipelines, cleaning, machine learning, visualisation, R and Excel/VBA — with the reasoning written down, not just the output.
8 services →systems.shSystems
Networking labs, security reports, cloud deployments, CI/CD pipelines and operating-systems coursework — configured, documented and evidenced.
5 services →engineering.mEngineering
MATLAB and Simulink assignments, embedded C and IoT builds — simulations that converge and hardware logic that is explained, not guessed.
2 services →projects.mdProjects
Final-year capstones and software-engineering documentation — scoped into milestones, built alongside the report, and ready for a demo.
2 services →support.logSupport
When the code mostly exists: reviews and fixes, live debugging over a call, unit tests, Git clean-up and technical viva preparation.
5 services →unsure.txtNot sure where it fits?
Send the brief as it is. We will tell you what it involves and what it costs.
WhatsApp the brief →// most requested
Where students usually start
Each service page lists exactly what you get and what to send us first.
languages.py
Python Assignments
Scripts, OOP assignments and automation tasks, run before they're handed back.
web_apps.tsxFull-Stack Projects
End-to-end app builds for capstones and group projects, one connected system.
data.sqlMachine Learning Models
Models trained, evaluated and written up to the standard your course expects.
data.sqlDatabase Design
Normalised schema design from an ER diagram through to a working database.
projects.mdFinal-Year Capstones
Final-year software capstones, scoped, built and documented end to end.
support.logCode Review & Fixes
Your own code, reviewed and fixed — not rewritten from scratch behind your back.
// definition of done
What “finished” means here
The same checklist runs on every delivery, from a 50-line lab to a final-year capstone.
01 · spec
Spec-first
Every requirement in the brief is mapped to code or a section of the report before delivery. Nothing assumed.
02 · tested
Tested before it ships
Run against your test cases and edge cases on a clean environment — not just on the machine it was written on.
03 · readable
Readable code
Consistent style, sensible names, comments where the logic is not obvious. Code you can read out loud in a viva.
04 · repo
A repo, not a dump
Pinned dependencies, a README with run steps, and a sensible file layout — the way a marker expects to open it.
05 · explain
Explained, not just handed over
A walkthrough of the approach on request, so the work is something you understand rather than something you received.
06 · private
Private by default
Your brief, code and data are never shared, reused or posted. Anything we show publicly is anonymised.
// how it works
From brief to handover in five steps
No surprises on price or scope — both are agreed in writing before any code is written.
- 01
Send the spec
The brief, the rubric, any starter code and the versions your marker uses. A photo of the PDF is fine to begin with.
- 02
Scope and quote in writing
We read it properly, ask what is unclear, and confirm a fixed price and delivery date. A small advance confirms the order.
- 03
Build against the brief
Work is tracked task by task against the spec. Longer projects are split into milestones you can review as they land.
- 04
Tested handover
A repo that installs from a README, run against your test cases, with the write-up if your rubric asks for one.
- 05
Fixes and walkthrough
One round of fixes if a marker flags something, and a walkthrough of how it works so you can explain it.
// on the desk
Recent builds, on video
Short clips of real projects in progress — Django systems, dashboards and IoT hardware.
Clips from the team's Instagram. Client names, logos and grades are never shown. More on @assignmentbytee.
// reviews
What clients said after delivery
From the review highlights on Assignment Byte's Instagram — the same team that runs this site.
Database delivered before a viva
The final database dump went out ahead of the client's viva, posted as “Just delivered”.
Project zip, handed over
A finished project delivered as a zip. The reply: “Thank you!”.
Four stars after an audio call
A four-star review, left after an audio call about the work.
// faq
Questions before you send a brief
Working code in a repository (or a zip) with a README that explains how to install and run it, the evidence your brief asks for — screenshots, outputs, test results — and a written report or explanation if your rubric requires one.
Python, Java, C and C++, JavaScript and TypeScript, React, Node, Django, Laravel, Flutter, SQL and NoSQL databases, pandas and scikit-learn, R, MATLAB and Simulink, Arduino and ESP32, networking tools such as Packet Tracer, and cloud and DevOps tooling. If your stack is not listed, ask — the brief decides.
We read the brief first, then quote a fixed price and delivery date in writing. The price depends on scope, stack and deadline — not on how many times you need to ask a question. A small advance confirms the order.
That is the point of the tested handover. Dependencies are pinned, paths are relative, and the code is run on a clean environment against your test cases before it is sent.
Yes. Every delivery can include a walkthrough call, and Technical Viva Prep is a service of its own — likely questions, answers in your own words, and a mock viva.
Yes. Assignment Nepal Tech is Assignment Byte's programming and data line, with the same WhatsApp number and email. This site exists so coding and data work has a place of its own.
Your brief, code, data and personal details are never shared with third parties, never reused for another client and never posted publicly. Anything shown on Instagram is anonymised.
// send your brief
Five fields, then WhatsApp opens.
Fill in what you know and the form writes the message for you. Attach the PDF, rubric or starter code in the chat. Prefer Instagram? DM @assignmentbytee.
- Reply with scope, price and delivery date
- Nothing starts until you confirm
- Your brief is never shared or reused
./send-brief
Send the spec. Get a fixed quote.
Paste the brief into WhatsApp with the stack and the deadline. Scope, price and delivery date come back in writing before any work starts.