Strengths4
- End-to-end pipeline from data to API
- Clear separation of concerns in utils module
- Dockerfile enables easy deployment
- Notebooks show executed steps and results
ML Application · Jupyter Notebook
fake-news-detector
What it is
The repository provides a FastAPI-based service for detecting fake news using a TF-IDF vectorized LinearSVC classifier. It includes data preprocessing, model training, and inference endpoints.
Merit describes the code at this commit. Later pushes count once the owner rescans. How merit is scored
Where it counts
- Machine Learning80%
- NLP & LLMs50%
- Data Science30%
- MLOps20%
How much of the project is about each field, as scoring counts it. It ranks in the field it is most about.
What the judge found
Read from the project's code at its scored commit.
Limitations
The owner keeps this project's limitations private.
Around it on the Machine Learning board
Whole board- 93, shared rankSkin-Cancer-ClassifierML Application · Jupyter Notebook49.2Implementationkamran akmalMachine Learning
- 93, shared ranksocrateLibrary / Framework · Jupyter Notebook49.2Implementationvlad andreiMachine Learning
- 96fake-news-detectorML Application · Jupyter Notebook49.0Implementationkamran akmalMachine Learning
- 97, shared rankdeep-learningEducational Implementation · Jupyter Notebook48.5ImplementationVraj PatelMachine Learning
- 97, shared rankVISTAArchitecture Modification / Research · Jupyter Notebook48.5ImplementationSuceveanu Mircea Dan SanduMachine Learning
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