video-quality-enhancer

AI-powered Video Upscaler built with React, FastAPI, and Real-ESRGAN. Restores low-res footage to high-definition with 4x resolution…

A new way for AI to search for data
View on GitHub
2GitHub stars

JavaScript, Python

What XERJ indexed

Snapshot

Whole repository

The whole repository at commit 3789f70696 (2026-10-18).

Selected work

Narvdeshwar
@Narvdeshwar

“video”. 5 files, 882 lines in frontend, backend, the project root.

Licence

The repository

MIT

Checked by a person at the pinned commit.

The XERJ corpus

MIT, with credit

The author agreed by email on 2026-10-23. Same terms as the repository. Answers name the repo, the commit and the file:line.

in licence reviewnot in the hub yetsuggested use: adapt with attribution

fastapireactjstailwindcss

Example questions

The prompt

Paste it into your AI agent. It clones Narvdeshwar/video-quality-enhancer at the pinned commit and indexes it on your machine.

Search the GitHub repository Narvdeshwar/video-quality-enhancer with XERJ (https://hub.xerj.org/corpus/narvdeshwar--video-quality-enhancer).
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/Narvdeshwar/video-quality-enhancer video-quality-enhancer && git -C video-quality-enhancer checkout 3789f7069678b81dc009b9daeb18d1c9297a10e1
3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data
4. xerj autoindex ./video-quality-enhancer --url http://127.0.0.1:9200 --prefix video-quality-enhancer --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.

Related

Selected work and consent: the XERJ registry.