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2015pushkar/Distributed-Image-Processing-and-Anomaly-Detection

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This project delivers a fully automated, cloud-native solution for distributed medical image processing using Apache Spark on GCP. It filters and classifies large image datasets with optional ML-based anomaly detection, enabling scalable, efficient, and low-maintenance image analysis workflows.

active 2025-04-012025-06-22 (UTC)

Complete coverage26,486 / 26,486 hourly files (100%) · 2 absent upstream2023-08-152026-08-22 (UTC)
Events
31
Pushes
14
Pull requests
0
Issues
8
Stars
3
Forks
1

Activity over time

Daily event counts in the loaded window

Line chart, 83 days from 2025-04-01 to 2025-06-22. Pushes: 14 total, peak 4 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 8 total, peak 5 in a day. Comments: 1 total, peak 1 in a day. Stars: 3 total, peak 1 in a day.

  • Pushes
  • Pull requests
  • Issues
  • Comments
  • Stars

Stars, PRs, issues and forks are under-captured in the later part of this window. GH Archive progressively stopped capturing non-push events during 2026 — −95% or worse by the end of the window. Every series here except Pushes fades for that reason, so a decline above reflects the archive, not this repository. Pushes stay reliable throughout, so read them, and the contributor counts derived from them, as the real signal. Data health has the measurements.

Top contributors

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

ContributorContributionsPushesPRsComments
2015pushkar211201
zamo242200

Recent activity

Latest issues, pull requests and releases

  • Issue comment#62015pushkar2025-05-01 01:03
    Explore front end and backend tech stack
  • Issue#62015pushkar2025-05-01 01:03
    Explore front end and backend tech stack
  • Issue#42015pushkar2025-04-27 21:48
    Explore DataProc
  • Issue#52015pushkar2025-04-27 21:47
    Explore GCP + Dataproc and Create a Dummy PySpark Pipeline
  • Issue#62015pushkar2025-04-01 00:38
    Explore front end and backend tech stack
  • Issue#52015pushkar2025-04-01 00:35
    Explore DataProc
  • Issue#42015pushkar2025-04-01 00:33
    Explore DataProc
  • Issue#32015pushkar2025-04-01 00:22
    Machine Learning & Automation (Anomaly Detection + Zipping + Triggering)
  • Issue#12015pushkar2025-04-01 00:20
    Frontend & Backend

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 3 stars here means stars gained during the window, not the repo's star count.