AI ECG Diagnosis Platform
Publicada el 2026-07-29
Descripción de la oferta
I need a complete, ready-to-run AI system that lets me upload a single-lead or multi-lead ECG image and immediately returns a diagnosis (Normal, Arrhythmia, or Myocardial Infarction) together with a confidence score. The workflow should be wrapped in a clean web interface—Flask or Streamlit are both acceptable, so choose whichever lets you move fastest without compromising clarity. What I expect: • A well-trained deep-learning model, full source code, and a clearly commented training notebook that shows every preprocessing, augmentation, and tuning step. • The curated dataset (or links plus usage licence) you used, with an explanation of its size, class balance, and any cleaning you performed. • The web app code that loads the saved weights, accepts image uploads, runs inference, and displays the prediction with the probability. • A concise installation guide (Linux/Windows), plus a README that walks through the code line by line so I can defend it during my viva. • A short project report describing problem statement, methodology, model architecture, evaluation metrics, results, and possible future work. Before we start, please confirm: 1. Your total cost and the calendar days you need to deliver. 2. Whether you will build the model and UI entirely from scratch or adapt an existing open-source backbone (I’m open to either, I just need transparency). 3. That you’ll remain available for quick bug fixes and a brief Q&A session to help me prepare for the viva after delivery. If this scope is clear and achievable for you, let’s discuss timelines and milestones so we can begin right away.
Skills
Fuente original: freelancer