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Brain-Stroke-Prediction

Brain Stroke Prediction is a Flask-based machine learning web application that predicts the risk of stroke using patient health data such as age, BMI, glucose level, hypertension, heart disease, and smoking status. The system provides real-time predictions through an interactive interface, supporting early risk assessment and healthcare awareness.

Details

External ID
1390435637
Source
GITHUB
Company
—
Product
Brain-Stroke-Prediction
Website domain
github.com
Launched
Sept. 27, 2026
Cohort
—
Upvotes
8
Upvotes percentile
0.14514476044068664
Tags
—
Fetched at
Oct. 1, 2026, 1:02 a.m.
Updated at
Oct. 1, 2026, 1:02 a.m.

Enrichment

Theme
health tracking and medical tools
Vertical
Healthcare
Function
Vertical SaaS
Audience
Prosumer
AI stance
AI-native
Project type
Hobby / open-source project
Normalized one-liner
stroke risk prediction app for patient health data
Manually corrected
False

Could you build this?

Yes This is a classic introductory machine learning project using a simple tabular dataset, scikit-learn model, and a standard Flask form interface.

Competitors

Other products that read as similar to this one — 28 launches clear the similarity bar, closest 8 shown.

Attention rank: #26 of 29 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 317 days after the earliest competitor.

Other launches for this product

Same idea, different domain

Nobody's really built a vertical saas tool for Insurance yet.