zakaria-narjis / nutrimind
A full-stack diet recommendation system using machine learning
Why this job: works in the areas we cover, but does not say which job it does
What it does
A full-stack diet recommendation system that generates personalized meal plans based on user health data (age, weight, height, activity level) or custom nutritional targets. The recommendation engine uses a content-based approach with cosine similarity over nutritional vectors to find the closest matching recipes from a dataset of 500,000+ Food.com recipes.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Inactive
- Last commit 7 months ago
- Stars
- 257
- On GitHub
- Licence
- Apache-2.0
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- v1.0.1
- Released 2 years ago
- Built with
- TypeScript
- 80% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 50% closed
- 4 still open
- Pull requests
- 7 merged
- 0 waiting
- Releases
- 2
- 0 in the last year
- No contributing guide
- No security policy
- Code of conduct (opens in new tab)
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More: languages, topics and project record
Languages
- TypeScript 80%
- Python 17%
- CSS 1%
- Dockerfile 1%
Topics
- diet-recommender
- food-recommendation
- machine-learning
- recommendation-system
- scikit-learn
Project record
- JobOther AI tools
- StatusListed
- Commits109
- Forks94
- Watching3
- Stars in 28 days+1
- CreatedDec 27, 2022
- First seen by usNov 7, 2026
- CheckedNov 8, 2026