Ezeibekwe Emmanuel

Corpus Hub contributor since 2026-10-25

Ezeibekwe Emmanuel '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

13files

785lines

★ 1GitHub stars on repo

Totals across every corpus @EzeibekweEmma 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 object-detection-app corpus

EzeibekweEmma/object-detection-app: The Object Detection App is a web application designed to detect objects in real-time using a webcam or through uploaded images.…

Look up how object-detection-app implements reactjs, tailwindcss, tensorflow, with answers cited to file and line.
Reuse a worked example: the commit “integrate YOLO26s object detection model using LiteRT-JS WebAss…” (13 files · TypeScript, JavaScript).
Answer from object-detection-app's real TypeScript source instead of memory (Web and frontend platform).

Example questions

How does object-detection-app implement reactjs?
What does utils do in object-detection-app?

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

Search the GitHub repository EzeibekweEmma/object-detection-app with XERJ (https://hub.xerj.org/corpus/ezeibekweemma--object-detection-app).
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/EzeibekweEmma/object-detection-app object-detection-app && git -C object-detection-app checkout b519d0a5f674170df40918dcdcf7c128081d08fa
3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data
4. xerj autoindex ./object-detection-app --url http://127.0.0.1:9200 --prefix object-detection-app --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 ezeibekweemma--object-detection-app · Web and frontend platform
Related corpora: edliz-zimbabwe-treatment-guidelines, redoc, rakshithkumar608/mintforge-ui, holakirr/snow-ui
Case study: reference coding for agents

Selected work

GitHub ★ 1

EzeibekweEmma/object-detection-app

The Object Detection App is a web application designed to detect objects in real-time using a webcam or through uploaded images. Additionally, the app allows users to set specific objects for alerts, notifying them when a set object is detected or deleted

On GitHub: 29 commits · 31 files at the pinned commit · created 2024-05 · last push 2026-10-29

Languages: TypeScript 95%, JavaScript 3%, CSS 2%

b519d0a5f6 feat: integrate YOLO26s object detection model using LiteRT-JS WebAss…

selected commit: 13 files · 785 lines · TypeScript, JavaScript · utils, components, the project root

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

live on the hub · licence clearedcorpus ezeibekweemma--object-detection-appWEBMITreactjstailwindcsstensorflowtypescript agreed 2026-10-25

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

Included with the author's permission (email, 2026-10-25), under each repository's own licence, with attribution. Own more repositories? Sign in with GitHub and add them. Want something removed? Reply to the email, withdraw it on /add, or open an issue on xerj-org/xerj.