Ask HN: ML-Based Tool Feedback

A high-school student built and deployed DiabetesRiskAnalyzer.org, a free open-source Flask web application that predicts diabetes risk from lifestyle markers including blood pressure, BMI and age, and published the underlying research paper at NHSJS. The model is deployed on AWS and the project's code is available in the GitHub repository Armoredpawn/Diabetes-Likelihood; the student asked Hacker News for feedback on the application's utility, and the post had drawn 1 point and 0 comments.

Hello all, I have built this free, open-source Flask-based web application https://diabetesriskanalyzer.org/ for a high-school science competition. The objective is to predict diabetes risk using lifestyle markers BP, BMI, age etc and I have deployed the model on AWS. Here is the research paper I have published at NHSJS: https://nhsjs.com/wp-content/uploads/2026/07/Using-Lifestyle-Markers-and-Machine-Learning-to-Detect-Diabetes.pdf. My github repository for this project is here: https://github.com/Armoredpawn/Diabetes-Likelihood Please provide me feedback on the utility and other aspects for this web application. Thank you Comments URL: https://news.ycombinator.com/item?id=49853093 https://news.ycombinator.com/item?id=49853093 Points: 1 Comments: 0