// ls services/
Services
Thirty services across seven areas. Each page says exactly what you get and what to send first, so the quote can be accurate.
languages.py
Languages
Python, Java, C and C++ coursework, plus the algorithms and data-structures modules that sit underneath all of them.
Python Assignments
Scripts, OOP assignments and automation tasks, run before they're handed back.
languages.pyJava Projects
OOP coursework and Java projects, structured the way your rubric grades.
languages.pyC / C++ Assignments
Memory-safe C/C++ coursework, from pointer exercises to full systems assignments.
languages.pyAlgorithms & DSA
Data structures and algorithms work, with the complexity analysis shown.
web_apps.tsx
Web & Apps
Frontend builds, backends and REST APIs, full-stack projects and mobile apps — delivered as a repo that installs and runs from a README.
Frontend Builds
Responsive frontend builds — React, Vue or plain JS — matched to your brief's wireframes.
web_apps.tsxBackend & APIs
REST or GraphQL APIs built to your endpoint spec, with the auth flow that was asked for.
web_apps.tsxFull-Stack Projects
End-to-end app builds for capstones and group projects, one connected system.
web_apps.tsxMobile App Builds
Android, iOS or cross-platform app builds matched to your course's framework.
data.sql
Data
Database design, SQL, pipelines, cleaning, machine learning, visualisation, R and Excel/VBA — with the reasoning written down, not just the output.
Database Design
Normalised schema design from an ER diagram through to a working database.
data.sqlSQL Query Work
Query sets solved and explained line by line, from joins to window functions.
data.sqlData Pipelines
ETL pipelines built to ingest, clean and load a dataset the way your brief specifies.
data.sqlData Cleaning
Messy datasets turned into an analysis-ready file, with every step logged.
data.sqlMachine Learning Models
Models trained, evaluated and written up to the standard your course expects.
data.sqlData Visualisation
Charts and dashboards built to make your dataset's actual finding legible.
data.sqlR & Statistics
Statistical analysis in R, from hypothesis tests through to the write-up.
data.sqlExcel & VBA Analysis
Excel and VBA work — pivot models, macros and dashboards built to spec.
systems.sh
Systems
Networking labs, security reports, cloud deployments, CI/CD pipelines and operating-systems coursework — configured, documented and evidenced.
Networking Configuration
Network design and configuration tasks — subnetting, routing and the diagram to match.
systems.shCybersecurity Reports
Vulnerability assessments and security reports, written to a professional standard.
systems.shCloud Deployment
Cloud deployment tasks on AWS, Azure or GCP, matched to your course's platform.
systems.shCI/CD Pipelines
CI/CD pipelines built to automate the build-test-deploy cycle your brief describes.
systems.shOperating Systems Work
Operating systems coursework — scheduling, memory management and concurrency work.
engineering.m
Engineering
MATLAB and Simulink assignments, embedded C and IoT builds — simulations that converge and hardware logic that is explained, not guessed.
projects.md
Projects
Final-year capstones and software-engineering documentation — scoped into milestones, built alongside the report, and ready for a demo.
support.log
Support
When the code mostly exists: reviews and fixes, live debugging over a call, unit tests, Git clean-up and technical viva preparation.
Code Review & Fixes
Your own code, reviewed and fixed — not rewritten from scratch behind your back.
support.logLive Debugging Sessions
Live debugging on a call — the bug found and explained, not just silently patched.
support.logUnit Testing & QA
Test suites written to your framework, covering the cases a marker will actually try.
support.logGit & Version Control
Git history and workflow set up properly, for a submission that's judged on commits too.
support.logTechnical Viva Prep
A rehearsal call before your code defence — the questions you'll actually get asked.
./send-brief
Brief doesn't fit a box?
Plenty don't. Send it as it is — we will say what it involves, which parts we would take on, and what it costs.