Over the next three months I’m building an AI-powered web application that turns a simple image upload into a meaningful market forecast. A user will drop in a PNG or JPG of any stock or crypto chart, choose a time frame (1 h, 1 d, or 1 w) and, within seconds, receive two outputs: • an LLM-generated technical commentary of roughly 500 words • a percentage bar chart that visualises the likelihood of Very Bullish, Bullish, Neutral, Bearish and Very Bearish moves The system must feel instant, accurate and clean on the front end while remaining rock-solid under the hood. To make that possible, the core image-processing and data-crunching engine will be written in C, so solid command of modern C practices is non-negotiable. Engagement roadmap I’ll kick things off with a small, paid pilot that lives entirely in C. The pilot will prove you can: • accept a local PNG/JPG and a timeframe flag • return a stubbed JSON object ready for the LLM and chart modules On successful delivery we roll straight into full-stack development—likely with a C service layer, a Python or Node bridge for AI calls (OpenAI, GPT-4 or similar) and a React-based UI—but I’m open to your preferred stack as long as those two user-facing results stay fast and reliable. If you thrive on end-to-end ownership—from low-level C all the way up to sleek front-end polish—let’s start with the pilot and build something remarkable.