DarkLens
AI-driven dark tourism guide and content creator for Jeju Island, offering personalized historical insights and immersive experiences.
- Documentation: https://jeju-ai.github.io/dark-lens
- GitHub: https://github.com/jeju-ai/dark-lens
- PyPI: https://pypi.org/project/dark-lens
DarkLens is an innovative AI-powered guide and content generation platform focusing on dark tourism in Jeju Island, South Korea. It utilizes large language models (LLMs) to provide personalized, in-depth historical commentary, recommend lesser-known historical sites, and automatically generate engaging video content of users' experiences. This project aims to offer a more meaningful and educational tourism experience, highlighting Jeju's complex history while promoting sustainable and culturally rich tourism.
Changelog
See the CHANGELOG for more information.
Contributing
Contributions are welcome! Please see the contributing guidelines for more information.
License
This project is released under the Apache-2.0 License.
Metadata
Release files for dark-lens 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
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| dark_lens-0.1.0.tar.gz | 7.3 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| dark_lens-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 15.2 kB
Release files / dark_lens-0.1.0.tar.gz
| Download URL | dark_lens-0.1.0.tar.gz |
|---|---|
| Size | 7.3 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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No |
| Uploaded via |
twine/3.8.0 pkginfo/1.11.1 readme-renderer/43.0 requests/2.32.3 requests-toolbelt/1.0.0 urllib3/2.2.2 tqdm/4.66.4 importlib-metadata/8.0.0 keyring/25.2.1 rfc3986/2.0.0 colorama/0.4.6 CPython/3.10.12
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Release files / dark_lens-0.1.0-py3-none-any.whl
| Download URL | dark_lens-0.1.0-py3-none-any.whl |
|---|---|
| Size | 7.9 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.8.0 pkginfo/1.11.1 readme-renderer/43.0 requests/2.32.3 requests-toolbelt/1.0.0 urllib3/2.2.2 tqdm/4.66.4 importlib-metadata/8.0.0 keyring/25.2.1 rfc3986/2.0.0 colorama/0.4.6 CPython/3.10.12
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