Shaurya Saria

Corpus Hub contributor since 2026-10-23

Shaurya Saria's work was selected for the XERJ Corpus Hub, the open reference memory AI coding agents search before they write code. When an agent meets the same problem, it gets this implementation back as a worked example, with the author and the repository attached.

1corpus

1selected commit

7files

376lines

★ 1GitHub stars on repo

Totals across every corpus @icecold009 appears in; a commit selected for two corpora counts once. Files and lines count the selected commits; each corpus indexes the whole repository at its pinned commit.

What an agent can do with the face-attendance-opencv-python corpus

icecold009/face-attendance-opencv-python: A fully offline, real-time face recognition attendance system built with Python, OpenCV, and Flask. Detects and identifies registered faces

Look up how face-attendance-opencv-python implements attendance-system, face-recognition, flask, with answers cited to file and line.
Reuse a worked example: the commit “isolate frame lifecycle” (7 files · Python).
Answer from face-attendance-opencv-python's real Python source instead of memory (Web and frontend platform).

Example questions

Where does face-attendance-opencv-python handle “isolate frame lifecycle”?
How does face-attendance-opencv-python implement attendance-system?
What does tests do in face-attendance-opencv-python?

Paste it into your AI agent. It clones the repo at the pinned commit and indexes it on your machine.

Search the GitHub repository icecold009/face-attendance-opencv-python with XERJ (https://hub.xerj.org/corpus/icecold009--face-attendance-opencv-python).
Run these in a shell, in order, and check each result before the next:
1. xerj --help  (success: it prints usage). If xerj is missing: curl -fsSL https://xerj.org/get | sh
2. git clone https://github.com/icecold009/face-attendance-opencv-python face-attendance-opencv-python && git -C face-attendance-opencv-python checkout c9309516994f029052d2aaa8f8fc8a8de9c9016b
3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data
4. xerj autoindex ./face-attendance-opencv-python --url http://127.0.0.1:9200 --prefix face-attendance-opencv-p --progress plain
5. xerj autoindex map --url http://127.0.0.1:9200
Then answer my question from the indexed files and cite the ax_path of every hit. Query syntax: https://xerj.org/llms.txt
Licence: MIT. Keep the copyright notice and credit the authors.

corpus icecold009--face-attendance-opencv-python · Web and frontend platform
Related corpora: griptape, icd10-who, kadian-arch/stillwatch, morgenruf/morgenruf
Case study: reference coding for agents

Selected work

GitHub ★ 1

icecold009/face-attendance-opencv-python

c930951699 refactor(camera): isolate frame lifecycle

selected commit: 7 files · 376 lines · Python · tests, src, src/attendance_web

The corpus is the whole repository at the pinned commit, not only the files of the selected commit.

selected · in licence reviewcorpus icecold009--face-attendance-opencv-pythonWEBMITattendance-systemface-recognitionflaskopencvpythonreal-time agreed 2026-10-23

Not installable yet: this corpus is not in the hub registry until its licence review passes, so xerj corpus add and xerj ask cannot fetch it. It becomes installable when this card says live in the hub.

[![XERJ Corpus Hub contributor](https://hub.xerj.org/contributors/icecold009/badge.svg)](https://hub.xerj.org/contributors/icecold009)

Included with the author's permission (email, 2026-10-23), under each repository's own licence, with attribution. Want it removed? Reply to the email or open an issue on xerj-org/xerj.