I’m always happy to chat or collaborate 😁. You can find me through the links below
I’m Yunus Sahli, a computer science student with a background in electrical engineering. But I started out building prosthetics for NHS patients, where I developed strong hands on and engineering skills.
While working in prosthetics and manufacturing, I became increasingly drawn to system design and logical problem solving. That curiosity led me to study computer science, and I haven't looked back since.
I'm currently building a couple physical projects and other digital tools that simplify everyday life using automation, AI, and other tech. My most recent project involves combining financial data analysis with facial recognition to help users make better financial decisions.
I’ve worked on a range of projects that combine my interests in automation, AI, and Machine Learning. Most of them were built from scratch and are areas I genuinely wanted to explore.
AI Financial Planner + Face Login
A single full stack project combining bank statement analysis with a secure facial login. Built with Django, React, and OpenCV for smart, personalised financial planning.
DormFinder
A full stack application to help students compare and book dorm rooms by availability, price, and location. Uses RESTful endpoints for filtering, booking logic, and room listings, later designed for student app integration.
SmartFridge
Built as a group project, this WinForms app manages real time inventory, chef and delivery access, auto orders ingredients when thresholds are hit, and generates reports on a pulled from a local SQL database. Designed for future hardware integration in smart fridges.
LandmarkAIChatbot
A personal project using a trained CNN to identify world landmarks from images or voice input. Integrates AIML for conversation handling and a structured Q&A database for follow up questions. Interface includes a simple file selector and console based chat.
WeatherWise
A lightweight C++ console app that fetches and displays current, hourly, and historical weather plus air quality data. Uses libcurl and RapidJSON to interact with Open Meteo APIs. Includes features like favourites and forecast export, built to strengthen my API/data parsing skills.