recom_system
In this project I built a recommendation system that uses CNN's to extract the metadata from images and then creates recomendations based on user's preferences. (If the landing page does not work, reload the page :) )
Science Score: 44.0%
This score indicates how likely this project is to be science-related based on various indicators:
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✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
○DOI references
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○Academic publication links
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (5.9%) to scientific vocabulary
Last synced: 10 months ago
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Repository
In this project I built a recommendation system that uses CNN's to extract the metadata from images and then creates recomendations based on user's preferences. (If the landing page does not work, reload the page :) )
Basic Info
- Host: GitHub
- Owner: Mnlsvt
- Language: Python
- Default Branch: main
- Homepage: https://ptuxiakhmanwlhs.web.app
- Size: 17.5 MB
Statistics
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
Created about 3 years ago
· Last pushed about 2 years ago
Metadata Files
Readme
Citation
README.md
To build this app
- Navigate to the Pint_UI directory. There you will find the front end of the app that is built in React. You will need to set up your firebase project and configure the credentials in the src/App.js file.
- Set up the proxy using the code found in the objectrecognitionAI/flask_proxy.py
- The AI mechanism for the data extraction, is located in the objectrecognitionAI/flasklocalwithclass.py and objectrecognitionAI/flasklocalwithclass_gpt.py. Contact the author to get more information about the models used.
Owner
- Name: MnLsVt
- Login: Mnlsvt
- Kind: user
- Repositories: 3
- Profile: https://github.com/Mnlsvt
Computer Science Student 💻 👾 👾 👾 👾 👾 👾 👾 👾 👾 👾 👾
Citation (CITATION.cff)
cff-version: 1.2.0 message: "If you use this software, please cite it as below." authors: - family-names: "Vettas" given-names: "Emmanouil" title: "AI metadata based Social Media Recommendation System" version: 1.0.0 date-released: 2024-02-29 url: "https://github.com/Mnlsvt/recom_system"