Projects in Worcester

Projects in WorcesterProjects in Worcester

Cover image for Use this for the Wireless

Use this for the Wireless Alignment Helper project: Wireless Alignment Helper is a Windows desktop tool I built to make wireless link alignment faster and easier for field technicians and network engineers. The application connects to wireless devices using SNMP and displays live RX signal levels in real time. It can monitor multiple clients at once, graph their signal strength, calculate averages, and help identify the best possible antenna alignment while a technician is physically adjusting the link. I built it around a real networking workflow rather than as a demo project, so the interface focuses on quick device selection, live feedback, multiple-client visibility and practical signal monitoring. Key functionality includes: • Live SNMP signal polling • SNMP v1/v2c/v3 support • Local and remote RX monitoring • Multi-client signal tracking • Real-time signal charts • Minimum, maximum and average signal statistics • Wireless AP/client monitoring • Configurable OIDs • Saved device/configuration settings • Windows desktop interface This project combines my professional networking background with software development and demonstrates C#/.NET desktop development, SNMP integration, real-time data visualization and network automation.

Cover image for Local Library — Self-Hosted Learning,

Local Library — Self-Hosted Learning, PDF & AI Quiz Platform Short description A self-hosted local-network learning platform I built to organize books, PDFs and images, provide a full browser-based reading experience, and generate interactive study quizzes using local AI. “Tell us about this work” Use this: I built Local Library as a self-hosted learning and document platform designed to run entirely on a local network. The original goal was to make school books, worksheets and learning material easy to access from any device in the house without relying on cloud services. The project grew into a complete digital library and study environment. Users can browse categorized PDF collections, search books, read documents directly in the browser, add notes and bookmarks, organize images, run OCR on image collections and access content offline. I also integrated local AI through Ollama to create an interactive Quiz Studio. Quiz sets can be generated from individual books, entire subjects or custom groups of learning material. The system tracks study progress, weak questions, accuracy and daily learning goals. Key functionality includes: • Self-hosted local-network access • PDF library and category management • Browser-based PDF reader • Full-book search • Notes and bookmarks • Image library and OCR • Offline access • User/admin functionality • Local Ollama AI integration • AI-generated quizzes from learning material • Subject and book-based quiz generation • Saved quiz sets • Study-progress tracking • Weak-question review • Daily study plans and goals This project demonstrates full-stack application development, local AI integration, document processing, OCR, education tooling and building a complete application around a real-world user need. I especially like that last point: you didn't make a random demo for a portfolio. You had an actual problem in your home and built software to solve it. That's a strong story for freelance clients. Skills used Add these if Contra offers them: Full-Stack Development AI-Assisted Development / Vibe Coding Web Application Development Python JavaScript Artificial Intelligence Ollama Local LLMs OCR Document Processing PDF Integration Search Database Development Responsive Web Design Self-Hosted Applications Local Network Applications Education Technology / EdTech UI/UX Development Automation

Cover image for Forex Evolution Market Scanner is

Forex Evolution Market Scanner is a desktop market-analysis and automation tool I built to generate structured pre-session briefs across indices, forex, metals, crypto and DXY. It connects directly to MetaTrader 5 for live market data, combines that with news and economic-calendar context, and uses local AI through Ollama to generate market outlooks, key levels, sentiment and risk context without requiring paid AI APIs. The application also includes automated scheduling, multi-market scanning, Telegram delivery, MT5 symbol management, fallback market-data sources, configurable market profiles and a Windows desktop/tray interface. I designed it to turn several manual pre-market research steps into one repeatable automated workflow: collect data → analyse context → generate a market brief → deliver it automatically. Key technologies: Python, MetaTrader 5, Ollama/local AI, Telegram API, market-data integrations, automation and Windows desktop packaging.

Cover image for TradeFlow — Full MT5 Trading,

TradeFlow — Full MT5 Trading, Analysis & Automation Platform One-line summary A modular trading workspace combining MT5 integration, live charting, trade journaling, strategy playbooks, copy trading, local AI analysis, financial news and economic-calendar data. Role AI-Assisted Software Developer / System Designer Project description TradeFlow is a full trading and productivity platform built to bring market analysis, trade execution support, journaling, strategy review and automation into one workspace. The platform connects directly to MetaTrader 5 and includes live terminal data, trade synchronization, copy-trading controls, strategy analysis, live charting, financial news, economic-calendar data and AI-assisted market analysis. Key features include: MT5 account and trade integration Live terminal and chart data Copy-trading functionality Trading journal with MT5 sync Strategy and playbook management Custom confluence and checklist logic AI-assisted market analysis Higher-timeframe and execution-context analysis Financial news and economic-calendar integration Saved market analysis and trade review Position management tools Multi-terminal support Productivity planner and weekly review tools The system uses a React frontend with a FastAPI/Python backend and integrates with MetaTrader 5, local AI models through Ollama, Telegram automation and additional market-data services. This project demonstrates full-stack application development, API integration, trading-platform integration, local AI workflows, data processing, automation and complex UI design.