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Disease Predictor App is a Programming Fundamentals semester project built with Flutter and Flask. It uses a Naïve Bayes model to predict diseases from symptoms. Deployed on PythonAnywhere, it delivers AI-powered health insights with a simple, user-friendly interface.

active 2025-09-062025-10-21 (UTC)

Partial coverage11,365 / 12,234 hourly files (93%) · 2 absent upstream · 867 failed, retryable2025-03-192026-08-10 (UTC)— sampled evenly across the window, so rankings and trends hold; absolute counts scale up.
Events
8
Pushes
5
Pull requests
0
Issues
0
Stars
1
Forks
0

Activity over time

Daily event counts in the loaded window

Line chart, 46 days from 2025-09-06 to 2025-10-21. Pushes: 5 total, peak 4 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 1 total, peak 1 in a day.

  • Pushes
  • Pull requests
  • Issues
  • Comments
  • Stars

Top contributors

Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity

ContributorContributionsPushesPRsComments
AmanBalouch5500

Recent activity

Latest issues, pull requests and releases

No issue or PR events — this repo's activity is pushes only.

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 1 stars here means stars gained during the window, not the repo's star count.