I’d like to suggest adding more Machine Learning (ML) projects to the showcase section to make it more diverse and engaging.
Currently, there is only one ML project displayed (Crop Recommendation System). Adding a few more well-documented ML-based projects would help users discover more practical and inspiring use cases.
Proposed Additions
- Include more open-source ML projects (e.g., image classification, sentiment analysis, recommendation systems, predictive analytics, etc.).
- Highlight projects built with frameworks like TensorFlow, PyTorch, Scikit-learn, Streamlit, and FastAPI.
- Add tags like
#data-science, #ai, or #deep-learning for better discoverability.
Benefits
- Improves visibility of ML contributions
- Encourages community participation
- Makes the showcase more informative and visually appealing
Additional Context
Screenshot reference:
I’d like to suggest adding more Machine Learning (ML) projects to the showcase section to make it more diverse and engaging.
Currently, there is only one ML project displayed (Crop Recommendation System). Adding a few more well-documented ML-based projects would help users discover more practical and inspiring use cases.
Proposed Additions
#data-science,#ai, or#deep-learningfor better discoverability.Benefits
Additional Context
Screenshot reference: